OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.9256, kappa: 0.3753, kb_relative_information_score: 0.2263, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9219, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.9262, kappa: 0.3841, kb_relative_information_score: 0.2159, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9226, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5463, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.256, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.921, kappa: 0.3324, kb_relative_information_score: 0.2218, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9165, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9223, kappa: 0.3397, kb_relative_information_score: 0.1736, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.918, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.9256, kappa: 0.3753, kb_relative_information_score: 0.2159, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9219, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2463, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.9019, kappa: 0.1297, kb_relative_information_score: -0.2158, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8913, predictive_accuracy: 0.9179, prior_entropy: 0.3638, recall: 0.9179, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2486, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2635, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, f_measure: 0.9203, kappa: 0.3225, kb_relative_information_score: 0.0385, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9156, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.9468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.9223, kappa: 0.3456, kb_relative_information_score: 0.2234, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.918, predictive_accuracy: 0.9297, prior_entropy: 0.3638, recall: 0.9297, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.9781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.9209, kappa: 0.3196, kb_relative_information_score: 0.1305, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9164, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8921, kappa: -0.0177, kb_relative_information_score: -0.3792, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8653, predictive_accuracy: 0.9206, prior_entropy: 0.3638, recall: 0.9206, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8558, f_measure: 0.923, kappa: 0.3493, kb_relative_information_score: 0.2099, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2466, root_relative_squared_error: 0.9701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.9203, kappa: 0.3288, kb_relative_information_score: 0.2089, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9158, predictive_accuracy: 0.9279, prior_entropy: 0.3638, recall: 0.9279, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2551, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.9223, kappa: 0.3513, kb_relative_information_score: 0.0987, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9182, predictive_accuracy: 0.9288, prior_entropy: 0.3638, recall: 0.9288, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.9584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.899, kappa: 0.0496, kb_relative_information_score: -0.4765, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8852, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.9203, kappa: 0.3349, kb_relative_information_score: 0.212, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.916, predictive_accuracy: 0.927, prior_entropy: 0.3638, recall: 0.927, relative_absolute_error: 0.5503, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2568, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.923, kappa: 0.3493, kb_relative_information_score: 0.2359, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.9071, kappa: 0.1116, kb_relative_information_score: -0.3679, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9277, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.9215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.919, kappa: 0.3338, kb_relative_information_score: 0.0874, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.915, predictive_accuracy: 0.9243, prior_entropy: 0.3638, recall: 0.9243, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.252, root_relative_squared_error: 0.9915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.9005, kappa: 0.056, kb_relative_information_score: -0.4582, mean_absolute_error: 0.1119, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8911, predictive_accuracy: 0.9279, prior_entropy: 0.3638, recall: 0.9279, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8576, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: -0.2184, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.8993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.896, kappa: 0.0106, kb_relative_information_score: 0.19, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.875, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2736, root_relative_squared_error: 1.0763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.9277, kappa: 0.3871, kb_relative_information_score: 0.1162, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9243, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.6251, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.8921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.919, kappa: 0.3279, kb_relative_information_score: 0.2015, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9147, predictive_accuracy: 0.9252, prior_entropy: 0.3638, recall: 0.9252, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.9243, kappa: 0.3624, kb_relative_information_score: 0.2002, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9203, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.9223, kappa: 0.3335, kb_relative_information_score: 0.1135, mean_absolute_error: 0.0821, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9181, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.9172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.9223, kappa: 0.3335, kb_relative_information_score: 0.1443, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9181, predictive_accuracy: 0.9315, prior_entropy: 0.3638, recall: 0.9315, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4951, f_measure: 0.856, kappa: -0.0082, kb_relative_information_score: -0.698, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8697, predictive_accuracy: 0.8431, prior_entropy: 0.3638, recall: 0.8431, relative_absolute_error: 1.2079, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3961, root_relative_squared_error: 1.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, kb_relative_information_score: -0.3909, mean_absolute_error: 0.1154, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.9429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9183, kappa: 0.3121, kb_relative_information_score: 0.1771, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9135, predictive_accuracy: 0.9261, prior_entropy: 0.3638, recall: 0.9261, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5805, f_measure: 0.9174, kappa: 0.2428, kb_relative_information_score: 0.2974, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9188, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.4998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2548, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5856, f_measure: 0.9171, kappa: 0.2489, kb_relative_information_score: 0.2779, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9154, predictive_accuracy: 0.9333, prior_entropy: 0.3638, recall: 0.9333, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2583, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5801, f_measure: 0.9167, kappa: 0.2391, kb_relative_information_score: 0.2876, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9168, predictive_accuracy: 0.9342, prior_entropy: 0.3638, recall: 0.9342, relative_absolute_error: 0.5068, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2566, root_relative_squared_error: 1.0093,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5731, f_measure: 0.9145, kappa: 0.2183, kb_relative_information_score: 0.2681, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9128, predictive_accuracy: 0.9324, prior_entropy: 0.3638, recall: 0.9324, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2601, root_relative_squared_error: 1.0231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.9248, kappa: 0.329, kb_relative_information_score: 0.3267, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9245, predictive_accuracy: 0.9378, prior_entropy: 0.3638, recall: 0.9378, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, kb_relative_information_score: -0.2098, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9728, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.249, root_relative_squared_error: 0.9797,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, kb_relative_information_score: -0.4609, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.9654,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, kb_relative_information_score: 0.003, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.9999,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5744, kb_relative_information_score: 0.0029, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, kb_relative_information_score: 0.0028, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2542, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, kb_relative_information_score: -0.4163, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.244, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.9104, kappa: 0.1504, kb_relative_information_score: -0.2267, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9254, predictive_accuracy: 0.9351, prior_entropy: 0.3638, recall: 0.9351, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.8955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, kb_relative_information_score: -0.1175, mean_absolute_error: 0.1246, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7956, kb_relative_information_score: -0.2756, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.9759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, kb_relative_information_score: -0.1748, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, kb_relative_information_score: -0.3122, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, kb_relative_information_score: -0.1955, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.9341, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.9487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, kb_relative_information_score: -0.0569, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, predictive_accuracy: 0.9306, prior_entropy: 0.3638, recall: 0.9306, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.9194,

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