Task
Supervised Classification on iris

Supervised Classification on iris

Task 1200 Supervised Classification iris 9 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9 Runs

Fetching data
Fetching data
Search runs in more detail
ID's
Sort: most recent
9 results
Test Test 2 months ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.46, f_measure: 0.3071, kappa: -0.0025, kb_relative_information_score: 0.0338, mean_absolute_error: 0.458, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3265, number_of_instances: 49, precision: 0.2994, predictive_accuracy: 0.3265, prior_entropy: 1.585, relative_absolute_error: 1.0306, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0886, unweighted_recall: 0.337,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn_test_6(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.4043, kappa: 0.1294, kb_relative_information_score: 0.1073, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.4444, weighted_recall: 0.4286, number_of_instances: 49, precision: 0.4032, predictive_accuracy: 0.4286, prior_entropy: 1.585, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4862, root_relative_squared_error: 1.0314, unweighted_recall: 0.4116,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn_test_6(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, f_measure: 0.3352, kappa: 0.0163, kb_relative_information_score: 0.0496, mean_absolute_error: 0.4539, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3469, number_of_instances: 49, precision: 0.3274, predictive_accuracy: 0.3469, prior_entropy: 1.585, relative_absolute_error: 1.0213, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5156, root_relative_squared_error: 1.0937, unweighted_recall: 0.3454,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn_test_5sr(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5747, f_measure: 0.3673, kappa: 0.0506, kb_relative_information_score: 0.1145, mean_absolute_error: 0.4239, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3673, number_of_instances: 49, precision: 0.369, predictive_accuracy: 0.3673, prior_entropy: 1.585, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4799, root_relative_squared_error: 1.018, unweighted_recall: 0.3694,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn_test_5(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.3489, kappa: 0.0224, kb_relative_information_score: 0.0908, mean_absolute_error: 0.4285, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3469, number_of_instances: 49, precision: 0.3592, predictive_accuracy: 0.3469, prior_entropy: 1.585, relative_absolute_error: 0.964, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0393, unweighted_recall: 0.3421,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.452, kappa: 0.1716, kb_relative_information_score: 0.0935, mean_absolute_error: 0.4348, mean_prior_absolute_error: 0.4444, weighted_recall: 0.449, number_of_instances: 49, precision: 0.4642, predictive_accuracy: 0.449, prior_entropy: 1.585, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0505, unweighted_recall: 0.4495,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4454, f_measure: 0.237, kappa: -0.1289, kb_relative_information_score: 0.034, mean_absolute_error: 0.4547, mean_prior_absolute_error: 0.4444, weighted_recall: 0.2449, number_of_instances: 49, precision: 0.2441, predictive_accuracy: 0.2449, prior_entropy: 1.585, relative_absolute_error: 1.023, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5165, root_relative_squared_error: 1.0956, unweighted_recall: 0.2472,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5947, f_measure: 0.407, kappa: 0.1119, kb_relative_information_score: 0.1179, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.4444, weighted_recall: 0.4082, number_of_instances: 49, precision: 0.4076, predictive_accuracy: 0.4082, prior_entropy: 1.585, relative_absolute_error: 0.9491, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4881, root_relative_squared_error: 1.0354, unweighted_recall: 0.4125,
Test Test 2 months ago
ran flow automlbenchmark_autosklearn(1) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.3474, kappa: 0.0243, kb_relative_information_score: 0.0976, mean_absolute_error: 0.4347, mean_prior_absolute_error: 0.4444, weighted_recall: 0.3469, number_of_instances: 49, precision: 0.3554, predictive_accuracy: 0.3469, prior_entropy: 1.585, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.069, unweighted_recall: 0.3486,

    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

    Given inputs

    estimation_procedure 10% Holdout set
    source_data iris (1)
    target_feature class

    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