Task
Supervised Classification on iris

Supervised Classification on iris

Task 1408 Supervised Classification iris 44 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4835, f_measure: 0.3202, kappa: -0.02, kb_relative_information_score: 0.0572, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4444, weighted_recall: 0.32, number_of_instances: 150, precision: 0.3207, predictive_accuracy: 0.32, prior_entropy: 1.585, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0764, unweighted_recall: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4488, f_measure: 0.2733, kappa: -0.09, kb_relative_information_score: 0.0301, mean_absolute_error: 0.4575, mean_prior_absolute_error: 0.4444, weighted_recall: 0.2733, number_of_instances: 150, precision: 0.2734, predictive_accuracy: 0.2733, prior_entropy: 1.585, relative_absolute_error: 1.0293, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0914, unweighted_recall: 0.2733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.318, kappa: -0.02, kb_relative_information_score: 0.059, mean_absolute_error: 0.4447, mean_prior_absolute_error: 0.4444, weighted_recall: 0.32, number_of_instances: 150, precision: 0.3172, predictive_accuracy: 0.32, prior_entropy: 1.585, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0629, unweighted_recall: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.3859, kappa: 0.08, kb_relative_information_score: 0.0552, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3867, number_of_instances: 150, precision: 0.3892, predictive_accuracy: 0.3867, prior_entropy: 1.585, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0774, unweighted_recall: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4683, f_measure: 0.3036, kappa: -0.04, kb_relative_information_score: 0.0446, mean_absolute_error: 0.4533, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3067, number_of_instances: 150, precision: 0.3032, predictive_accuracy: 0.3067, prior_entropy: 1.585, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5128, root_relative_squared_error: 1.0878, unweighted_recall: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.3552, kappa: 0.04, kb_relative_information_score: 0.069, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4444, weighted_recall: 0.36, number_of_instances: 150, precision: 0.3633, predictive_accuracy: 0.36, prior_entropy: 1.585, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0628, unweighted_recall: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4622, f_measure: 0.3199, kappa: -0.02, kb_relative_information_score: 0.0428, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4444, weighted_recall: 0.32, number_of_instances: 150, precision: 0.3204, predictive_accuracy: 0.32, prior_entropy: 1.585, relative_absolute_error: 1.0233, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0913, unweighted_recall: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4748, f_measure: 0.2937, kappa: -0.06, kb_relative_information_score: 0.0461, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4444, weighted_recall: 0.2933, number_of_instances: 150, precision: 0.2945, predictive_accuracy: 0.2933, prior_entropy: 1.585, relative_absolute_error: 1.0155, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.08, unweighted_recall: 0.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.484, f_measure: 0.2706, kappa: -0.09, kb_relative_information_score: 0.0548, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4444, weighted_recall: 0.2733, number_of_instances: 150, precision: 0.2709, predictive_accuracy: 0.2733, prior_entropy: 1.585, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5065, root_relative_squared_error: 1.0744, unweighted_recall: 0.2733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.446, f_measure: 0.2922, kappa: -0.06, kb_relative_information_score: 0.0274, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4444, weighted_recall: 0.2933, number_of_instances: 150, precision: 0.2922, predictive_accuracy: 0.2933, prior_entropy: 1.585, relative_absolute_error: 1.035, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.0953, unweighted_recall: 0.2933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.482, f_measure: 0.3522, kappa: 0.03, kb_relative_information_score: 0.0519, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3533, number_of_instances: 150, precision: 0.3545, predictive_accuracy: 0.3533, prior_entropy: 1.585, relative_absolute_error: 1.0133, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5076, root_relative_squared_error: 1.0769, unweighted_recall: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.3739, kappa: 0.06, kb_relative_information_score: 0.0794, mean_absolute_error: 0.4399, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3733, number_of_instances: 150, precision: 0.3747, predictive_accuracy: 0.3733, prior_entropy: 1.585, relative_absolute_error: 0.9898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.503, root_relative_squared_error: 1.067, unweighted_recall: 0.3733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4931, f_measure: 0.3223, kappa: -0.01, kb_relative_information_score: 0.0603, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3267, number_of_instances: 150, precision: 0.3235, predictive_accuracy: 0.3267, prior_entropy: 1.585, relative_absolute_error: 1.0097, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0801, unweighted_recall: 0.3267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.3416, kappa: 0.01, kb_relative_information_score: 0.0828, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4444, weighted_recall: 0.34, number_of_instances: 150, precision: 0.3466, predictive_accuracy: 0.34, prior_entropy: 1.585, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0735, unweighted_recall: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5679, f_measure: 0.3838, kappa: 0.08, kb_relative_information_score: 0.0943, mean_absolute_error: 0.4294, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3867, number_of_instances: 150, precision: 0.3887, predictive_accuracy: 0.3867, prior_entropy: 1.585, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.0283, unweighted_recall: 0.3867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.3516, kappa: 0.03, kb_relative_information_score: 0.063, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3533, number_of_instances: 150, precision: 0.3535, predictive_accuracy: 0.3533, prior_entropy: 1.585, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0762, unweighted_recall: 0.3533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.911, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2576, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.912, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2554, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9121, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2566, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2553, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9097, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1236, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2597, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.96, kappa: 0.94, kb_relative_information_score: 0.9118, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4444, weighted_recall: 0.96, number_of_instances: 150, precision: 0.9605, predictive_accuracy: 0.96, prior_entropy: 1.585, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2571, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9129, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.255, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9109, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2567, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9119, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2566, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9129, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2538, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9667, kappa: 0.95, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2561, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9867, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1192, root_relative_squared_error: 0.2528, unweighted_recall: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9867, kappa: 0.98, kb_relative_information_score: 0.9137, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9867, number_of_instances: 150, precision: 0.9872, predictive_accuracy: 0.9867, prior_entropy: 1.585, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1189, root_relative_squared_error: 0.2522, unweighted_recall: 0.9867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9115, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1209, root_relative_squared_error: 0.2564, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.912, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1204, root_relative_squared_error: 0.2555, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 0.9127, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2556, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9113, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2566, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1197, root_relative_squared_error: 0.2538, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.913, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2525, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9113, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.121, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2575, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9138, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1183, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.2519, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9124, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.255, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9125, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.2557, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9666, kappa: 0.95, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9667, number_of_instances: 150, precision: 0.9678, predictive_accuracy: 0.9667, prior_entropy: 1.585, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2568, unweighted_recall: 0.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.98, kappa: 0.97, kb_relative_information_score: 0.9116, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4444, weighted_recall: 0.98, number_of_instances: 150, precision: 0.9811, predictive_accuracy: 0.98, prior_entropy: 1.585, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.2549, unweighted_recall: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9122, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1202, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.256, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9108, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9753, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1223, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2571, unweighted_recall: 0.9733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9733, kappa: 0.96, kb_relative_information_score: 0.9111, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4444, weighted_recall: 0.9733, number_of_instances: 150, precision: 0.9738, predictive_accuracy: 0.9733, prior_entropy: 1.585, relative_absolute_error: 0.1215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1217, root_relative_squared_error: 0.2583, unweighted_recall: 0.9733,

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    Leaderboard

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    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

    OpenML bootcamp

    From your own software

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

    OpenML APIs