OpenML
Supervised Classification on KDDCup09_upselling

Supervised Classification on KDDCup09_upselling

Task 3948 Supervised Classification KDDCup09_upselling 8590 runs submitted
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  • OpenML100 study_123 study_14 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -311028.9869, mean_absolute_error: 0.5014, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.0736, prior_entropy: 0.3794, recall: 0.0736, relative_absolute_error: 3.6749, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.9199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -408.0565, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7690.136, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -8564.792, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.025, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, kb_relative_information_score: -11001.425, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.9132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -44699.8065, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.1461, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2622, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8983, kappa: 0.0801, kb_relative_information_score: -7816.4121, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.91, predictive_accuracy: 0.9281, prior_entropy: 0.3794, recall: 0.9281, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.9048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.9183, kappa: 0.3, kb_relative_information_score: -2958.717, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9206, predictive_accuracy: 0.9343, prior_entropy: 0.3794, recall: 0.9343, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.23, root_relative_squared_error: 0.8805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 539.9102, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10631.3072, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0312, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.9233, kappa: 0.3602, kb_relative_information_score: -3203.2926, mean_absolute_error: 0.1058, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9223, predictive_accuracy: 0.9351, prior_entropy: 0.3794, recall: 0.9351, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.8832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8579, f_measure: 0.9425, kappa: 0.5292, kb_relative_information_score: 12349.7198, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9445, predictive_accuracy: 0.9498, prior_entropy: 0.3794, recall: 0.9498, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2111, root_relative_squared_error: 0.8081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -2839.1623, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0081, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, kb_relative_information_score: -20119.6009, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.9869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -290.1828, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1395.9632, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2613, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7272.7979, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0211, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6850.306, mean_absolute_error: 0.1392, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0199, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, kb_relative_information_score: -21026.0752, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.891, kappa: 0.0005, kb_relative_information_score: -14882.4187, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.895, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.9488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4335.8292, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 292.4827, mean_absolute_error: 0.135, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9895, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.9264, kappa: 0.3904, kb_relative_information_score: -917.8199, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9257, predictive_accuracy: 0.9371, prior_entropy: 0.3794, recall: 0.9371, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.8736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 221.7332, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, kb_relative_information_score: -22438.6356, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, kb_relative_information_score: -6824.5266, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.9233, kappa: 0.3634, kb_relative_information_score: -3530.5239, mean_absolute_error: 0.1056, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9217, predictive_accuracy: 0.9346, prior_entropy: 0.3794, recall: 0.9346, relative_absolute_error: 0.7742, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.9352, kappa: 0.4809, kb_relative_information_score: 3272.5862, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9336, predictive_accuracy: 0.9416, prior_entropy: 0.3794, recall: 0.9416, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2226, root_relative_squared_error: 0.8521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 327.268, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.8911, kappa: 0.0048, kb_relative_information_score: -26864.0179, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8737, predictive_accuracy: 0.9256, prior_entropy: 0.3794, recall: 0.9256, relative_absolute_error: 0.9811, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, kb_relative_information_score: -21591.6395, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, kb_relative_information_score: -14004.0572, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9668, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.9715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.9122, kappa: 0.2345, kb_relative_information_score: -4660.6682, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9163, predictive_accuracy: 0.9319, prior_entropy: 0.3794, recall: 0.9319, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.889, kappa: 0.0217, kb_relative_information_score: -21177.3113, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8692, predictive_accuracy: 0.9161, prior_entropy: 0.3794, recall: 0.9161, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2732, root_relative_squared_error: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, kb_relative_information_score: -20434.9857, mean_absolute_error: 0.1332, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9759, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, kb_relative_information_score: -10505.0311, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, kb_relative_information_score: -15181.71, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, kb_relative_information_score: -14761.3404, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.9906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6438, kb_relative_information_score: -17028.6141, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3804.9341, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0109, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, kb_relative_information_score: -14003.1796, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -446.8078, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -22538.8207, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0687, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2614, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: 90.5985, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3229.847, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.8835, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2618, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 81.3574, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, kb_relative_information_score: -14121.9113, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.9673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 150.7515, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.9946, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2346.2614, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0067, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kb_relative_information_score: -3907.7819, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2612, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12403.5885, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, predictive_accuracy: 0.9264, prior_entropy: 0.3794, recall: 0.9264, relative_absolute_error: 0.5397, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2714, root_relative_squared_error: 1.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.8902, kappa: -0.0007, kb_relative_information_score: 11382.7248, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8626, predictive_accuracy: 0.9244, prior_entropy: 0.3794, recall: 0.9244, relative_absolute_error: 0.5543, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.275, root_relative_squared_error: 1.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8903, kappa: 0.0001, kb_relative_information_score: 11362.3075, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.8637, predictive_accuracy: 0.9243, prior_entropy: 0.3794, recall: 0.9243, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2751, root_relative_squared_error: 1.0533,

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