Task
Supervised Classification on KDDCup09_churn

Supervised Classification on KDDCup09_churn

Task 3946 Supervised Classification KDDCup09_churn 7834 runs submitted
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  • OpenML100 slow study_123 study_14 under100k
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7834 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5557, f_measure: 0.8893, kappa: 0.0833, kb_relative_information_score: -22743.934, mean_absolute_error: 0.1199, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.877, predictive_accuracy: 0.905, prior_entropy: 0.3787, recall: 0.905, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.1621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.8917, kappa: 0.0789, kb_relative_information_score: -32471.3696, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8779, predictive_accuracy: 0.9112, prior_entropy: 0.3787, recall: 0.9112, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2856, root_relative_squared_error: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.894, kappa: 0.0758, kb_relative_information_score: -32568.6222, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8803, predictive_accuracy: 0.9172, prior_entropy: 0.3787, recall: 0.9172, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2776, root_relative_squared_error: 1.0642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5771, f_measure: 0.8924, kappa: 0.0816, kb_relative_information_score: -33527.4078, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8787, predictive_accuracy: 0.9124, prior_entropy: 0.3787, recall: 0.9124, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.285, root_relative_squared_error: 1.0926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.8781, kappa: 0.0713, kb_relative_information_score: -25659.1992, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8737, predictive_accuracy: 0.8827, prior_entropy: 0.3787, recall: 0.8827, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3203, root_relative_squared_error: 1.2278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.8757, kappa: 0.0748, kb_relative_information_score: -27259.5038, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8741, predictive_accuracy: 0.8774, prior_entropy: 0.3787, recall: 0.8774, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3212, root_relative_squared_error: 1.2313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.8875, kappa: 0.0745, kb_relative_information_score: -30012.8473, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8754, predictive_accuracy: 0.9024, prior_entropy: 0.3787, recall: 0.9024, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3018, root_relative_squared_error: 1.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.8879, kappa: 0.0844, kb_relative_information_score: -30934.7015, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8766, predictive_accuracy: 0.9016, prior_entropy: 0.3787, recall: 0.9016, relative_absolute_error: 0.9355, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2947, root_relative_squared_error: 1.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5971, f_measure: 0.8925, kappa: 0.0735, kb_relative_information_score: -33736.4835, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8782, predictive_accuracy: 0.914, prior_entropy: 0.3787, recall: 0.914, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2828, root_relative_squared_error: 1.0842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.8942, kappa: 0.0735, kb_relative_information_score: -33701.7315, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8807, predictive_accuracy: 0.9182, prior_entropy: 0.3787, recall: 0.9182, relative_absolute_error: 0.9366, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5719, f_measure: 0.8911, kappa: 0.0926, kb_relative_information_score: -31692.8628, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8788, predictive_accuracy: 0.9073, prior_entropy: 0.3787, recall: 0.9073, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2913, root_relative_squared_error: 1.1169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.8923, kappa: 0.0725, kb_relative_information_score: -33612.8197, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8779, predictive_accuracy: 0.9137, prior_entropy: 0.3787, recall: 0.9137, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2827, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.8835, kappa: 0.0787, kb_relative_information_score: -30788.1062, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8751, predictive_accuracy: 0.8929, prior_entropy: 0.3787, recall: 0.8929, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3027, root_relative_squared_error: 1.1606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.895, kappa: 0.0714, kb_relative_information_score: -34037.8067, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8828, predictive_accuracy: 0.9207, prior_entropy: 0.3787, recall: 0.9207, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2748, root_relative_squared_error: 1.0534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5886, f_measure: 0.8894, kappa: 0.0763, kb_relative_information_score: -32487.6091, mean_absolute_error: 0.1281, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8763, predictive_accuracy: 0.9063, prior_entropy: 0.3787, recall: 0.9063, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2881, root_relative_squared_error: 1.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5318, f_measure: 0.886, kappa: 0.0778, kb_relative_information_score: -3130.4787, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8754, predictive_accuracy: 0.8985, prior_entropy: 0.3787, recall: 0.8985, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3196, root_relative_squared_error: 1.2251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.8762, kappa: 0.0726, kb_relative_information_score: -27039.9378, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8738, predictive_accuracy: 0.8786, prior_entropy: 0.3787, recall: 0.8786, relative_absolute_error: 0.9526, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3215, root_relative_squared_error: 1.2323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.88, kappa: 0.0746, kb_relative_information_score: -28819.3707, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8742, predictive_accuracy: 0.8862, prior_entropy: 0.3787, recall: 0.8862, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.1773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5769, f_measure: 0.8924, kappa: 0.0804, kb_relative_information_score: -33603.9682, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8786, predictive_accuracy: 0.9126, prior_entropy: 0.3787, recall: 0.9126, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2849, root_relative_squared_error: 1.0923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.8925, kappa: 0.0626, kb_relative_information_score: -34013.9572, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8775, predictive_accuracy: 0.9161, prior_entropy: 0.3787, recall: 0.9161, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2804, root_relative_squared_error: 1.0749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.8884, kappa: 0.0724, kb_relative_information_score: -33171.2768, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8754, predictive_accuracy: 0.9047, prior_entropy: 0.3787, recall: 0.9047, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.291, root_relative_squared_error: 1.1155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.8922, kappa: 0.0705, kb_relative_information_score: -33406.8325, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8777, predictive_accuracy: 0.914, prior_entropy: 0.3787, recall: 0.914, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2824, root_relative_squared_error: 1.0826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5948, f_measure: 0.8916, kappa: 0.0732, kb_relative_information_score: -32305.8749, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8773, predictive_accuracy: 0.9119, prior_entropy: 0.3787, recall: 0.9119, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2837, root_relative_squared_error: 1.0877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.8805, kappa: 0.0754, kb_relative_information_score: -23028.7021, mean_absolute_error: 0.125, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8744, predictive_accuracy: 0.8872, prior_entropy: 0.3787, recall: 0.8872, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3195, root_relative_squared_error: 1.2249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6068, f_measure: 0.8934, kappa: 0.0682, kb_relative_information_score: -33138.9008, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8792, predictive_accuracy: 0.9173, prior_entropy: 0.3787, recall: 0.9173, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.8894, kappa: 0.0907, kb_relative_information_score: -30048.6381, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8778, predictive_accuracy: 0.9038, prior_entropy: 0.3787, recall: 0.9038, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2974, root_relative_squared_error: 1.1401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.8934, kappa: 0.0604, kb_relative_information_score: -33883.6795, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.879, predictive_accuracy: 0.9189, prior_entropy: 0.3787, recall: 0.9189, relative_absolute_error: 0.9401, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2777, root_relative_squared_error: 1.0645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.8943, kappa: 0.0634, kb_relative_information_score: -33021.545, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8811, predictive_accuracy: 0.9205, prior_entropy: 0.3787, recall: 0.9205, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2731, root_relative_squared_error: 1.0468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.8871, kappa: 0.0834, kb_relative_information_score: -31957.3876, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8763, predictive_accuracy: 0.9, prior_entropy: 0.3787, recall: 0.9, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2951, root_relative_squared_error: 1.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.8958, kappa: 0.079, kb_relative_information_score: -33128.0041, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8846, predictive_accuracy: 0.9212, prior_entropy: 0.3787, recall: 0.9212, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2741, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.8925, kappa: 0.0681, kb_relative_information_score: -33716.0994, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8778, predictive_accuracy: 0.915, prior_entropy: 0.3787, recall: 0.915, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.281, root_relative_squared_error: 1.0771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.8813, kappa: 0.0894, kb_relative_information_score: -26454.6102, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8762, predictive_accuracy: 0.8866, prior_entropy: 0.3787, recall: 0.8866, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3119, root_relative_squared_error: 1.1958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.8895, kappa: 0.0797, kb_relative_information_score: -32106.5535, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8767, predictive_accuracy: 0.906, prior_entropy: 0.3787, recall: 0.906, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2927, root_relative_squared_error: 1.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.8925, kappa: 0.0604, kb_relative_information_score: -34164.2096, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8774, predictive_accuracy: 0.9166, prior_entropy: 0.3787, recall: 0.9166, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.8925, kappa: 0.0742, kb_relative_information_score: -32892.8344, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8782, predictive_accuracy: 0.9139, prior_entropy: 0.3787, recall: 0.9139, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2812, root_relative_squared_error: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.8921, kappa: 0.0697, kb_relative_information_score: -33183.9, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8775, predictive_accuracy: 0.9138, prior_entropy: 0.3787, recall: 0.9138, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2824, root_relative_squared_error: 1.0825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5903, f_measure: 0.8893, kappa: 0.0763, kb_relative_information_score: -32296.4008, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8762, predictive_accuracy: 0.906, prior_entropy: 0.3787, recall: 0.906, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2881, root_relative_squared_error: 1.1046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.8818, kappa: 0.0749, kb_relative_information_score: -24325.2697, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8744, predictive_accuracy: 0.8899, prior_entropy: 0.3787, recall: 0.8899, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3166, root_relative_squared_error: 1.2135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5907, f_measure: 0.8887, kappa: 0.0826, kb_relative_information_score: -31941.4364, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8767, predictive_accuracy: 0.9038, prior_entropy: 0.3787, recall: 0.9038, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2898, root_relative_squared_error: 1.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.8925, kappa: 0.074, kb_relative_information_score: -33495.5286, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8782, predictive_accuracy: 0.9139, prior_entropy: 0.3787, recall: 0.9139, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2829, root_relative_squared_error: 1.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.8929, kappa: 0.0702, kb_relative_information_score: -33290.4792, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8785, predictive_accuracy: 0.9157, prior_entropy: 0.3787, recall: 0.9157, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2799, root_relative_squared_error: 1.0731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5894, f_measure: 0.895, kappa: 0.0862, kb_relative_information_score: -33982.1728, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8822, predictive_accuracy: 0.9177, prior_entropy: 0.3787, recall: 0.9177, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2799, root_relative_squared_error: 1.0729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5896, f_measure: 0.8933, kappa: 0.0819, kb_relative_information_score: -32936.149, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8797, predictive_accuracy: 0.9145, prior_entropy: 0.3787, recall: 0.9145, relative_absolute_error: 0.9332, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2827, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.8931, kappa: 0.071, kb_relative_information_score: -33509.7312, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8788, predictive_accuracy: 0.9159, prior_entropy: 0.3787, recall: 0.9159, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2794, root_relative_squared_error: 1.0712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.8957, kappa: 0.0781, kb_relative_information_score: -33047.0233, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8843, predictive_accuracy: 0.9211, prior_entropy: 0.3787, recall: 0.9211, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2741, root_relative_squared_error: 1.0507,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.8913, kappa: 0.0785, kb_relative_information_score: -32969.6067, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8776, predictive_accuracy: 0.9104, prior_entropy: 0.3787, recall: 0.9104, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2858, root_relative_squared_error: 1.0955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.8878, kappa: 0.0762, kb_relative_information_score: -27824.5295, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8757, predictive_accuracy: 0.9027, prior_entropy: 0.3787, recall: 0.9027, relative_absolute_error: 0.9091, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.1451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.535, f_measure: 0.8855, kappa: 0.0801, kb_relative_information_score: -5738.0101, mean_absolute_error: 0.1049, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8756, predictive_accuracy: 0.897, prior_entropy: 0.3787, recall: 0.897, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3154, root_relative_squared_error: 1.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.8942, kappa: 0.0622, kb_relative_information_score: -33077.0577, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8809, predictive_accuracy: 0.9204, prior_entropy: 0.3787, recall: 0.9204, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2732, root_relative_squared_error: 1.0473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.8761, kappa: 0.0654, kb_relative_information_score: -21354.02, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8728, predictive_accuracy: 0.8795, prior_entropy: 0.3787, recall: 0.8795, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.2725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5666, f_measure: 0.8901, kappa: 0.0801, kb_relative_information_score: -32976.0709, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.877, predictive_accuracy: 0.9072, prior_entropy: 0.3787, recall: 0.9072, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2927, root_relative_squared_error: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.563, f_measure: 0.8811, kappa: 0.0787, kb_relative_information_score: -28818.5903, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8748, predictive_accuracy: 0.8878, prior_entropy: 0.3787, recall: 0.8878, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.1773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5445, f_measure: 0.8733, kappa: 0.067, kb_relative_information_score: -20347.054, mean_absolute_error: 0.127, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.873, predictive_accuracy: 0.8736, prior_entropy: 0.3787, recall: 0.8736, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3366, root_relative_squared_error: 1.2902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5693, f_measure: 0.8803, kappa: 0.0793, kb_relative_information_score: -28742.1374, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8749, predictive_accuracy: 0.8861, prior_entropy: 0.3787, recall: 0.8861, relative_absolute_error: 0.9383, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3068, root_relative_squared_error: 1.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.8868, kappa: 0.0841, kb_relative_information_score: -7314.0846, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8763, predictive_accuracy: 0.8992, prior_entropy: 0.3787, recall: 0.8992, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.1759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.8905, kappa: 0.081, kb_relative_information_score: -32038.2009, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8773, predictive_accuracy: 0.9079, prior_entropy: 0.3787, recall: 0.9079, relative_absolute_error: 0.9302, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2916, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.8931, kappa: 0.0768, kb_relative_information_score: -33922.077, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8791, predictive_accuracy: 0.9148, prior_entropy: 0.3787, recall: 0.9148, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5571, f_measure: 0.8879, kappa: 0.0818, kb_relative_information_score: -29155.0202, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.1361, number_of_instances: 50000, precision: 0.8763, predictive_accuracy: 0.9021, prior_entropy: 0.3787, recall: 0.9021, relative_absolute_error: 0.9219, root_mean_prior_squared_error: 0.2609, root_mean_squared_error: 0.301, root_relative_squared_error: 1.1541,

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