Task
Supervised Classification on analcatdata_boxing1

Supervised Classification on analcatdata_boxing1

Task 3540 Supervised Classification analcatdata_boxing1 905 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8425, f_measure: 0.8137, kappa: 0.5808, kb_relative_information_score: 54.1489, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8353, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8255, kappa: 0.6175, kb_relative_information_score: 68.1496, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8261, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.4183, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.39, root_relative_squared_error: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8402, kappa: 0.6462, kb_relative_information_score: 48.8223, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8399, predictive_accuracy: 0.8417, prior_entropy: 0.9362, recall: 0.8417, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8079, kappa: 0.5686, kb_relative_information_score: 55.2973, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8189, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.383, root_relative_squared_error: 0.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8144, kappa: 0.588, kb_relative_information_score: 50.95, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8141, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7347, kappa: 0.4203, kb_relative_information_score: 44.7328, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7365, predictive_accuracy: 0.7333, prior_entropy: 0.9362, recall: 0.7333, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.8314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.8156, kappa: 0.5926, kb_relative_information_score: 68.7642, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.815, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.801, kappa: 0.5652, kb_relative_information_score: 65.7244, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7858, kappa: 0.5181, kb_relative_information_score: 30.0505, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8079, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 43.7765, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.6608, kappa: 0.2369, kb_relative_information_score: 22.1141, mean_absolute_error: 0.3808, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.6652, predictive_accuracy: 0.6833, prior_entropy: 0.9362, recall: 0.6833, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8335, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 43.7765, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.6988, kappa: 0.3256, kb_relative_information_score: 26.0634, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.6978, predictive_accuracy: 0.7083, prior_entropy: 0.9362, recall: 0.7083, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.8324, kappa: 0.6296, kb_relative_information_score: 68.0458, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8319, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.7084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 57.3171, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7858, kappa: 0.5181, kb_relative_information_score: 33.5671, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8079, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4707, f_measure: 0.5121, kb_relative_information_score: -0.2247, mean_absolute_error: 0.4561, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9362, recall: 0.65, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.716, kappa: 0.3642, kb_relative_information_score: 25.9914, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7158, predictive_accuracy: 0.725, prior_entropy: 0.9362, recall: 0.725, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8098, kappa: 0.5736, kb_relative_information_score: 52.2083, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8162, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.8098, kappa: 0.5736, kb_relative_information_score: 52.2083, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8162, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.384, root_relative_squared_error: 0.8051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 60.9185, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8144, kappa: 0.588, kb_relative_information_score: 50.95, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8141, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8412, kappa: 0.6501, kb_relative_information_score: 72.919, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8409, predictive_accuracy: 0.8417, prior_entropy: 0.9362, recall: 0.8417, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8222, kappa: 0.6045, kb_relative_information_score: 71.9154, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8225, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8144, kappa: 0.588, kb_relative_information_score: 50.95, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8141, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 74.192, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 60.9185, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8402, kappa: 0.6462, kb_relative_information_score: 48.8223, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8399, predictive_accuracy: 0.8417, prior_entropy: 0.9362, recall: 0.8417, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7905, kappa: 0.5294, kb_relative_information_score: 43.9323, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3645, root_relative_squared_error: 0.7643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 74.192, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8144, kappa: 0.588, kb_relative_information_score: 50.95, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8141, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7867, kappa: 0.5238, kb_relative_information_score: 62.8091, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7876, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7867, kappa: 0.5238, kb_relative_information_score: 62.8091, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7876, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8176, kappa: 0.5906, kb_relative_information_score: 71.9154, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8267, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8176, kappa: 0.5906, kb_relative_information_score: 71.9154, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8267, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7518, f_measure: 0.7867, kappa: 0.5238, kb_relative_information_score: 62.8091, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7876, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8176, kappa: 0.5906, kb_relative_information_score: 71.9154, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8267, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7775, f_measure: 0.8176, kappa: 0.5906, kb_relative_information_score: 71.9154, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8267, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.783, f_measure: 0.7176, kappa: 0.3651, kb_relative_information_score: 26.2666, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.725, predictive_accuracy: 0.7333, prior_entropy: 0.9362, recall: 0.7333, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7257, kappa: 0.3989, kb_relative_information_score: 34.4433, mean_absolute_error: 0.3225, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7266, predictive_accuracy: 0.725, prior_entropy: 0.9362, recall: 0.725, relative_absolute_error: 0.7076, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.7862, kappa: 0.539, kb_relative_information_score: 60.5326, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7931, predictive_accuracy: 0.7833, prior_entropy: 0.9362, recall: 0.7833, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 24.1074, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9362, recall: 0.65, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1697.6783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 24.1074, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9362, recall: 0.65, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5667, kappa: 0.0909, kb_relative_information_score: 30.9371, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7833, predictive_accuracy: 0.675, prior_entropy: 0.9362, recall: 0.675, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.1952, scimark_benchmark: 1862.8608, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 24.1074, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9362, recall: 0.65, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1387.7847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5667, kappa: 0.0909, kb_relative_information_score: 30.9371, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7833, predictive_accuracy: 0.675, prior_entropy: 0.9362, recall: 0.675, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.1952, scimark_benchmark: 1374.8212, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5121, kb_relative_information_score: 24.1074, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.4225, predictive_accuracy: 0.65, prior_entropy: 0.9362, recall: 0.65, relative_absolute_error: 0.768, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.2403, scimark_benchmark: 1591.0293, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7911, kappa: 0.5396, kb_relative_information_score: 60.6357, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7906, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.888, scimark_benchmark: 1918.4916, usercpu_time_millis: 515.625, usercpu_time_millis_training: 515.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8263, kappa: 0.6216, kb_relative_information_score: 70.4454, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8287, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.3989, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8525, scimark_benchmark: 1918.4916, usercpu_time_millis: 625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8222, kappa: 0.6045, kb_relative_information_score: 71.9154, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8225, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877, scimark_benchmark: 1427.64, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.85, kappa: 0.6703, kb_relative_information_score: 76.6181, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.85, predictive_accuracy: 0.85, prior_entropy: 0.9362, recall: 0.85, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7891, scimark_benchmark: 1275.9016, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8845, f_measure: 0.8088, kappa: 0.5811, kb_relative_information_score: 68.968, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8095, predictive_accuracy: 0.8083, prior_entropy: 0.9362, recall: 0.8083, relative_absolute_error: 0.4087, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8277, scimark_benchmark: 1360.6915, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8144, kappa: 0.588, kb_relative_information_score: 50.95, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8141, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7313, scimark_benchmark: 1303.2161, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.83, kappa: 0.6212, kb_relative_information_score: 74.192, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8313, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8559, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8324, kappa: 0.6296, kb_relative_information_score: 74.192, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8319, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8559, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7988, kappa: 0.5556, kb_relative_information_score: 64.0932, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7981, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8631, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8373, f_measure: 0.801, kappa: 0.5652, kb_relative_information_score: 67.2677, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.4231, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8308, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.716, kappa: 0.3642, kb_relative_information_score: 25.9914, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7158, predictive_accuracy: 0.725, prior_entropy: 0.9362, recall: 0.725, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8561, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8078, kappa: 0.5764, kb_relative_information_score: 66.0981, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8074, predictive_accuracy: 0.8083, prior_entropy: 0.9362, recall: 0.8083, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3425, root_relative_squared_error: 0.7181, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.8157, kappa: 0.5858, kb_relative_information_score: 56.1161, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8303, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.5552, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7972, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8098, kappa: 0.5736, kb_relative_information_score: 54.6791, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8162, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8026, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, f_measure: 0.8176, kappa: 0.5906, kb_relative_information_score: 43.2848, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8267, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.68, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7627, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8144, kappa: 0.588, kb_relative_information_score: 50.95, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8141, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7313, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8254, kappa: 0.6078, kb_relative_information_score: 60.9185, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7691, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8144, kappa: 0.588, kb_relative_information_score: 50.95, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8141, predictive_accuracy: 0.8167, prior_entropy: 0.9362, recall: 0.8167, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7313, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8222, kappa: 0.6045, kb_relative_information_score: 71.9154, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8225, predictive_accuracy: 0.825, prior_entropy: 0.9362, recall: 0.825, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4183, root_relative_squared_error: 0.877, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8324, kappa: 0.6296, kb_relative_information_score: 74.192, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8319, predictive_accuracy: 0.8333, prior_entropy: 0.9362, recall: 0.8333, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8559, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7911, kappa: 0.5396, kb_relative_information_score: 62.5711, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.7906, predictive_accuracy: 0.7917, prior_entropy: 0.9362, recall: 0.7917, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8679, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.801, kappa: 0.5652, kb_relative_information_score: 67.2369, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4557, number_of_instances: 120, precision: 0.8025, predictive_accuracy: 0.8, prior_entropy: 0.9362, recall: 0.8, relative_absolute_error: 0.4235, root_mean_prior_squared_error: 0.477, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8316, scimark_benchmark: 1744.8652,

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

OpenML bootcamp

From your own software

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

OpenML APIs