Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1 Supervised Classification anneal 336 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.837, kappa: 0.5962, kb_relative_information_score: 0.5459, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8486, number_of_instances: 898, precision: 0.8406, predictive_accuracy: 0.8486, prior_entropy: 1.1915, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8338, kappa: 0.5903, kb_relative_information_score: 0.5545, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.8363, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8278, kappa: 0.5769, kb_relative_information_score: 0.5632, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.1343, weighted_recall: 0.843, number_of_instances: 898, precision: 0.8298, predictive_accuracy: 0.843, prior_entropy: 1.1915, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8226, kappa: 0.5652, kb_relative_information_score: 0.5514, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8396, number_of_instances: 898, precision: 0.8237, predictive_accuracy: 0.8396, prior_entropy: 1.1915, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8276, kappa: 0.5751, kb_relative_information_score: 0.548, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1343, weighted_recall: 0.843, number_of_instances: 898, precision: 0.8302, predictive_accuracy: 0.843, prior_entropy: 1.1915, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8328, kappa: 0.5885, kb_relative_information_score: 0.5522, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.8354, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8377, kappa: 0.5986, kb_relative_information_score: 0.5524, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8423, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5596, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8357, kappa: 0.5949, kb_relative_information_score: 0.5568, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8486, number_of_instances: 898, precision: 0.8402, predictive_accuracy: 0.8486, prior_entropy: 1.1915, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9544, kappa: 0.8861, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9543, number_of_instances: 898, precision: 0.9545, predictive_accuracy: 0.9543, prior_entropy: 1.1915, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.4548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8413, kappa: 0.6083, kb_relative_information_score: 0.5569, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1343, weighted_recall: 0.853, number_of_instances: 898, precision: 0.846, predictive_accuracy: 0.853, prior_entropy: 1.1915, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8366, kappa: 0.5968, kb_relative_information_score: 0.5534, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8406, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5599, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8394, kappa: 0.6039, kb_relative_information_score: 0.5493, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8508, number_of_instances: 898, precision: 0.8428, predictive_accuracy: 0.8508, prior_entropy: 1.1915, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8283, kappa: 0.578, kb_relative_information_score: 0.5529, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.8294, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8346, kappa: 0.5941, kb_relative_information_score: 0.5541, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.8354, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5595, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8345, kappa: 0.5933, kb_relative_information_score: 0.5448, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8452, number_of_instances: 898, precision: 0.8364, predictive_accuracy: 0.8452, prior_entropy: 1.1915, relative_absolute_error: 0.5655, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8192, kappa: 0.5589, kb_relative_information_score: 0.5506, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8374, number_of_instances: 898, precision: 0.8183, predictive_accuracy: 0.8374, prior_entropy: 1.1915, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.823, kappa: 0.5675, kb_relative_information_score: 0.5536, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8419, number_of_instances: 898, precision: 0.8242, predictive_accuracy: 0.8419, prior_entropy: 1.1915, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8281, kappa: 0.5781, kb_relative_information_score: 0.5469, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8419, number_of_instances: 898, precision: 0.8286, predictive_accuracy: 0.8419, prior_entropy: 1.1915, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.7598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9277, kappa: 0.8245, kb_relative_information_score: 0.7656, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9321, number_of_instances: 898, precision: 0.924, predictive_accuracy: 0.9321, prior_entropy: 1.1915, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8312, kappa: 0.5843, kb_relative_information_score: 0.5495, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.833, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5566, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8384, kappa: 0.6017, kb_relative_information_score: 0.5469, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8413, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.824, kappa: 0.5693, kb_relative_information_score: 0.541, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8419, number_of_instances: 898, precision: 0.8255, predictive_accuracy: 0.8419, prior_entropy: 1.1915, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.7595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8349, kappa: 0.5937, kb_relative_information_score: 0.5415, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.8374, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5664, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8357, kappa: 0.5944, kb_relative_information_score: 0.5518, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8396, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8359, kappa: 0.5957, kb_relative_information_score: 0.5497, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8381, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8373, kappa: 0.5985, kb_relative_information_score: 0.5558, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8411, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.831, kappa: 0.5825, kb_relative_information_score: 0.5525, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.8334, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.82, kappa: 0.56, kb_relative_information_score: 0.5423, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8352, number_of_instances: 898, precision: 0.8186, predictive_accuracy: 0.8352, prior_entropy: 1.1915, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8308, kappa: 0.5839, kb_relative_information_score: 0.5525, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1343, weighted_recall: 0.843, number_of_instances: 898, precision: 0.8324, predictive_accuracy: 0.843, prior_entropy: 1.1915, relative_absolute_error: 0.5592, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.7531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8371, kappa: 0.5989, kb_relative_information_score: 0.5494, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8387, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5578, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8331, kappa: 0.5886, kb_relative_information_score: 0.5438, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.836, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.823, kappa: 0.5672, kb_relative_information_score: 0.548, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.824, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.7576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.8334, kappa: 0.5891, kb_relative_information_score: 0.5554, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8372, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.821, kappa: 0.5633, kb_relative_information_score: 0.5502, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8396, number_of_instances: 898, precision: 0.8216, predictive_accuracy: 0.8396, prior_entropy: 1.1915, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8294, kappa: 0.5807, kb_relative_information_score: 0.5532, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.8313, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5606, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.7578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8363, kappa: 0.5963, kb_relative_information_score: 0.5534, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8486, number_of_instances: 898, precision: 0.8395, predictive_accuracy: 0.8486, prior_entropy: 1.1915, relative_absolute_error: 0.5485, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8404, kappa: 0.6062, kb_relative_information_score: 0.5565, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8519, number_of_instances: 898, precision: 0.8448, predictive_accuracy: 0.8519, prior_entropy: 1.1915, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8298, kappa: 0.5812, kb_relative_information_score: 0.5592, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8452, number_of_instances: 898, precision: 0.8329, predictive_accuracy: 0.8452, prior_entropy: 1.1915, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8292, kappa: 0.5786, kb_relative_information_score: 0.5488, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1343, weighted_recall: 0.843, number_of_instances: 898, precision: 0.8313, predictive_accuracy: 0.843, prior_entropy: 1.1915, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8423, kappa: 0.6105, kb_relative_information_score: 0.5539, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8541, number_of_instances: 898, precision: 0.8476, predictive_accuracy: 0.8541, prior_entropy: 1.1915, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8353, kappa: 0.5942, kb_relative_information_score: 0.5545, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8385, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8235, kappa: 0.5653, kb_relative_information_score: 0.5476, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.8259, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.5536, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, f_measure: 0.8278, kappa: 0.5765, kb_relative_information_score: 0.5484, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8419, number_of_instances: 898, precision: 0.8291, predictive_accuracy: 0.8419, prior_entropy: 1.1915, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8334, kappa: 0.5891, kb_relative_information_score: 0.5559, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8372, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.7526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8342, kappa: 0.5912, kb_relative_information_score: 0.5588, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8486, number_of_instances: 898, precision: 0.8385, predictive_accuracy: 0.8486, prior_entropy: 1.1915, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9277, kappa: 0.8245, kb_relative_information_score: 0.7656, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9321, number_of_instances: 898, precision: 0.924, predictive_accuracy: 0.9321, prior_entropy: 1.1915, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8323, kappa: 0.5869, kb_relative_information_score: 0.5597, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.8354, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.8355, kappa: 0.5951, kb_relative_information_score: 0.5492, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.837, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.7547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8373, kappa: 0.5985, kb_relative_information_score: 0.5574, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8411, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5427, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1942, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.99, kappa: 0.975, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.1343, weighted_recall: 0.99, number_of_instances: 898, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 1.1915, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0578, root_relative_squared_error: 0.2238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8287, kappa: 0.579, kb_relative_information_score: 0.5475, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.8312, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5589, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8392, kappa: 0.6029, kb_relative_information_score: 0.556, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8519, number_of_instances: 898, precision: 0.8443, predictive_accuracy: 0.8519, prior_entropy: 1.1915, relative_absolute_error: 0.5486, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8363, kappa: 0.5957, kb_relative_information_score: 0.5487, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8388, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5624, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8284, kappa: 0.5768, kb_relative_information_score: 0.5525, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1343, weighted_recall: 0.843, number_of_instances: 898, precision: 0.8308, predictive_accuracy: 0.843, prior_entropy: 1.1915, relative_absolute_error: 0.5538, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.7586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8258, kappa: 0.5726, kb_relative_information_score: 0.55, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.8263, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.7577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8331, kappa: 0.5886, kb_relative_information_score: 0.5542, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.836, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5533, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8245, kappa: 0.5688, kb_relative_information_score: 0.5508, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8396, number_of_instances: 898, precision: 0.8255, predictive_accuracy: 0.8396, prior_entropy: 1.1915, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.7579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8413, kappa: 0.6083, kb_relative_information_score: 0.5539, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1343, weighted_recall: 0.853, number_of_instances: 898, precision: 0.846, predictive_accuracy: 0.853, prior_entropy: 1.1915, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8329, kappa: 0.5869, kb_relative_information_score: 0.5479, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.8364, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.832, kappa: 0.5842, kb_relative_information_score: 0.5517, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.8343, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8394, kappa: 0.6039, kb_relative_information_score: 0.5587, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8508, number_of_instances: 898, precision: 0.8428, predictive_accuracy: 0.8508, prior_entropy: 1.1915, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8357, kappa: 0.5947, kb_relative_information_score: 0.5551, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8486, number_of_instances: 898, precision: 0.8393, predictive_accuracy: 0.8486, prior_entropy: 1.1915, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8382, kappa: 0.6001, kb_relative_information_score: 0.5568, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8417, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8245, kappa: 0.5691, kb_relative_information_score: 0.5508, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.8261, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8306, kappa: 0.5833, kb_relative_information_score: 0.552, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8419, number_of_instances: 898, precision: 0.8312, predictive_accuracy: 0.8419, prior_entropy: 1.1915, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8404, kappa: 0.6061, kb_relative_information_score: 0.5519, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8519, number_of_instances: 898, precision: 0.8444, predictive_accuracy: 0.8519, prior_entropy: 1.1915, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8204, kappa: 0.5592, kb_relative_information_score: 0.5488, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8385, number_of_instances: 898, precision: 0.8215, predictive_accuracy: 0.8385, prior_entropy: 1.1915, relative_absolute_error: 0.5568, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8872, f_measure: 0.8311, kappa: 0.5788, kb_relative_information_score: 0.5442, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1343, weighted_recall: 0.843, number_of_instances: 898, precision: 0.8331, predictive_accuracy: 0.843, prior_entropy: 1.1915, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8315, kappa: 0.5835, kb_relative_information_score: 0.5619, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.8358, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.7534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8379, kappa: 0.6002, kb_relative_information_score: 0.5504, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8413, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.8331, kappa: 0.5886, kb_relative_information_score: 0.5503, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.836, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8317, kappa: 0.5856, kb_relative_information_score: 0.5567, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8361, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8392, kappa: 0.6029, kb_relative_information_score: 0.5585, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8519, number_of_instances: 898, precision: 0.8441, predictive_accuracy: 0.8519, prior_entropy: 1.1915, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.7548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8298, kappa: 0.5812, kb_relative_information_score: 0.5545, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8452, number_of_instances: 898, precision: 0.8329, predictive_accuracy: 0.8452, prior_entropy: 1.1915, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.7534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8404, kappa: 0.6061, kb_relative_information_score: 0.5519, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8519, number_of_instances: 898, precision: 0.8444, predictive_accuracy: 0.8519, prior_entropy: 1.1915, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8383, kappa: 0.6007, kb_relative_information_score: 0.5483, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8508, number_of_instances: 898, precision: 0.8427, predictive_accuracy: 0.8508, prior_entropy: 1.1915, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.829, kappa: 0.5789, kb_relative_information_score: 0.5561, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8396, number_of_instances: 898, precision: 0.8292, predictive_accuracy: 0.8396, prior_entropy: 1.1915, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.84, kappa: 0.6055, kb_relative_information_score: 0.5582, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8508, number_of_instances: 898, precision: 0.8428, predictive_accuracy: 0.8508, prior_entropy: 1.1915, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.195, root_relative_squared_error: 0.7553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.823, kappa: 0.5672, kb_relative_information_score: 0.5545, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.824, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.551, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.194, root_relative_squared_error: 0.7514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.834, kappa: 0.5916, kb_relative_information_score: 0.5523, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8452, number_of_instances: 898, precision: 0.8361, predictive_accuracy: 0.8452, prior_entropy: 1.1915, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9254, kappa: 0.8179, kb_relative_information_score: 0.7571, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9298, number_of_instances: 898, precision: 0.9218, predictive_accuracy: 0.9298, prior_entropy: 1.1915, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.5481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8346, kappa: 0.5908, kb_relative_information_score: 0.5471, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8385, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8313, kappa: 0.5844, kb_relative_information_score: 0.5482, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.8336, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.196, root_relative_squared_error: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.824, kappa: 0.5693, kb_relative_information_score: 0.555, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8419, number_of_instances: 898, precision: 0.8255, predictive_accuracy: 0.8419, prior_entropy: 1.1915, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1943, root_relative_squared_error: 0.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.8367, kappa: 0.5969, kb_relative_information_score: 0.5634, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8412, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.824, kappa: 0.5543, kb_relative_information_score: 0.5451, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8385, number_of_instances: 898, precision: 0.8282, predictive_accuracy: 0.8385, prior_entropy: 1.1915, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8332, kappa: 0.5881, kb_relative_information_score: 0.559, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8452, number_of_instances: 898, precision: 0.8355, predictive_accuracy: 0.8452, prior_entropy: 1.1915, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8246, kappa: 0.5699, kb_relative_information_score: 0.5487, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8385, number_of_instances: 898, precision: 0.8245, predictive_accuracy: 0.8385, prior_entropy: 1.1915, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8316, kappa: 0.5854, kb_relative_information_score: 0.554, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8463, number_of_instances: 898, precision: 0.8359, predictive_accuracy: 0.8463, prior_entropy: 1.1915, relative_absolute_error: 0.5489, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8888, f_measure: 0.8303, kappa: 0.5808, kb_relative_information_score: 0.5589, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.833, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8413, kappa: 0.6083, kb_relative_information_score: 0.5568, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.1343, weighted_recall: 0.853, number_of_instances: 898, precision: 0.846, predictive_accuracy: 0.853, prior_entropy: 1.1915, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8298, kappa: 0.5812, kb_relative_information_score: 0.5467, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8452, number_of_instances: 898, precision: 0.8329, predictive_accuracy: 0.8452, prior_entropy: 1.1915, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9923, kappa: 0.9806, kb_relative_information_score: 0.9781, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.1343, weighted_recall: 0.9922, number_of_instances: 898, precision: 0.9925, predictive_accuracy: 0.9922, prior_entropy: 1.1915, relative_absolute_error: 0.0193, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.051, root_relative_squared_error: 0.1974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.829, kappa: 0.5791, kb_relative_information_score: 0.5545, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8441, number_of_instances: 898, precision: 0.8319, predictive_accuracy: 0.8441, prior_entropy: 1.1915, relative_absolute_error: 0.5555, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.7556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8341, kappa: 0.5908, kb_relative_information_score: 0.5543, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8474, number_of_instances: 898, precision: 0.8375, predictive_accuracy: 0.8474, prior_entropy: 1.1915, relative_absolute_error: 0.5539, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.7542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8374, kappa: 0.5987, kb_relative_information_score: 0.545, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8497, number_of_instances: 898, precision: 0.8417, predictive_accuracy: 0.8497, prior_entropy: 1.1915, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8825, f_measure: 0.8413, kappa: 0.6083, kb_relative_information_score: 0.5464, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1343, weighted_recall: 0.853, number_of_instances: 898, precision: 0.846, predictive_accuracy: 0.853, prior_entropy: 1.1915, relative_absolute_error: 0.5632, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.7584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8225, kappa: 0.5654, kb_relative_information_score: 0.5483, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.824, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.5585, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8383, kappa: 0.6007, kb_relative_information_score: 0.556, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8508, number_of_instances: 898, precision: 0.8427, predictive_accuracy: 0.8508, prior_entropy: 1.1915, relative_absolute_error: 0.5551, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.8273, kappa: 0.5621, kb_relative_information_score: 0.5514, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8408, number_of_instances: 898, precision: 0.8308, predictive_accuracy: 0.8408, prior_entropy: 1.1915, relative_absolute_error: 0.5574, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.755,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs