Task
Supervised Classification on KDDCup09_upselling

Supervised Classification on KDDCup09_upselling

Task 3948 Supervised Classification KDDCup09_upselling 8086 runs submitted
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  • OpenML100 study_123 study_14 under100k
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8086 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.9317, kappa: 0.459, kb_relative_information_score: -3983.3556, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9292, predictive_accuracy: 0.9376, prior_entropy: 0.3794, recall: 0.9376, relative_absolute_error: 0.634, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.239, root_relative_squared_error: 0.9151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.9209, kappa: 0.4038, kb_relative_information_score: 486.3558, mean_absolute_error: 0.0849, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9189, predictive_accuracy: 0.9232, prior_entropy: 0.3794, recall: 0.9232, relative_absolute_error: 0.6219, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.9303, kappa: 0.4559, kb_relative_information_score: 13908.1597, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9276, predictive_accuracy: 0.9351, prior_entropy: 0.3794, recall: 0.9351, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.9348, kappa: 0.4757, kb_relative_information_score: -4988.2306, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9334, predictive_accuracy: 0.9417, prior_entropy: 0.3794, recall: 0.9417, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, f_measure: 0.9259, kappa: 0.4311, kb_relative_information_score: -1976.9321, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9232, predictive_accuracy: 0.9295, prior_entropy: 0.3794, recall: 0.9295, relative_absolute_error: 0.6288, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.9327, kappa: 0.4641, kb_relative_information_score: -4026.1114, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9304, predictive_accuracy: 0.9388, prior_entropy: 0.3794, recall: 0.9388, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.9302, kappa: 0.447, kb_relative_information_score: -3044.2893, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9275, predictive_accuracy: 0.9363, prior_entropy: 0.3794, recall: 0.9363, relative_absolute_error: 0.6193, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7289, f_measure: 0.9255, kappa: 0.4178, kb_relative_information_score: -703.146, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9223, predictive_accuracy: 0.9307, prior_entropy: 0.3794, recall: 0.9307, relative_absolute_error: 0.6173, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.9681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.9246, kappa: 0.4135, kb_relative_information_score: 5880.9426, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9214, predictive_accuracy: 0.9294, prior_entropy: 0.3794, recall: 0.9294, relative_absolute_error: 0.5864, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.9298, kappa: 0.4462, kb_relative_information_score: -4564.0075, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.927, predictive_accuracy: 0.9355, prior_entropy: 0.3794, recall: 0.9355, relative_absolute_error: 0.6337, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.9348, kappa: 0.4761, kb_relative_information_score: -4708.9832, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9334, predictive_accuracy: 0.9417, prior_entropy: 0.3794, recall: 0.9417, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.9053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.9369, kappa: 0.4903, kb_relative_information_score: -4085.7756, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9362, predictive_accuracy: 0.9439, prior_entropy: 0.3794, recall: 0.9439, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.9194, kappa: 0.391, kb_relative_information_score: -2354.0708, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9172, predictive_accuracy: 0.9219, prior_entropy: 0.3794, recall: 0.9219, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.9873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.9397, kappa: 0.5084, kb_relative_information_score: -4654.8482, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9404, predictive_accuracy: 0.947, prior_entropy: 0.3794, recall: 0.947, relative_absolute_error: 0.632, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.8746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.939, kappa: 0.502, kb_relative_information_score: -5268.7435, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9399, predictive_accuracy: 0.9466, prior_entropy: 0.3794, recall: 0.9466, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.8718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.935, kappa: 0.4768, kb_relative_information_score: -4996.5368, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9337, predictive_accuracy: 0.9419, prior_entropy: 0.3794, recall: 0.9419, relative_absolute_error: 0.6376, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.941, kappa: 0.5161, kb_relative_information_score: -4699.8639, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9429, predictive_accuracy: 0.9486, prior_entropy: 0.3794, recall: 0.9486, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.9368, kappa: 0.4906, kb_relative_information_score: -4721.2523, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9359, predictive_accuracy: 0.9436, prior_entropy: 0.3794, recall: 0.9436, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.9405, kappa: 0.5137, kb_relative_information_score: -4718.0995, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.942, predictive_accuracy: 0.9481, prior_entropy: 0.3794, recall: 0.9481, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.9316, kappa: 0.4565, kb_relative_information_score: -4874.8114, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9292, predictive_accuracy: 0.9378, prior_entropy: 0.3794, recall: 0.9378, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.24, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.9232, kappa: 0.4107, kb_relative_information_score: -3376.1503, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9204, predictive_accuracy: 0.9269, prior_entropy: 0.3794, recall: 0.9269, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.249, root_relative_squared_error: 0.9532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.9339, kappa: 0.4719, kb_relative_information_score: -4060.9389, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.932, predictive_accuracy: 0.9404, prior_entropy: 0.3794, recall: 0.9404, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.9018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.9341, kappa: 0.4712, kb_relative_information_score: -5087.475, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9325, predictive_accuracy: 0.9409, prior_entropy: 0.3794, recall: 0.9409, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.9025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.9357, kappa: 0.4803, kb_relative_information_score: -5188.1451, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9349, predictive_accuracy: 0.943, prior_entropy: 0.3794, recall: 0.943, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.8938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.9333, kappa: 0.4647, kb_relative_information_score: -4851.3742, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9315, predictive_accuracy: 0.9402, prior_entropy: 0.3794, recall: 0.9402, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7256, f_measure: 0.9254, kappa: 0.42, kb_relative_information_score: -58.4402, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9223, predictive_accuracy: 0.9302, prior_entropy: 0.3794, recall: 0.9302, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.9382, kappa: 0.4976, kb_relative_information_score: -5381.2118, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9383, predictive_accuracy: 0.9455, prior_entropy: 0.3794, recall: 0.9455, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.9285, kappa: 0.4377, kb_relative_information_score: -1233.1515, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9256, predictive_accuracy: 0.9341, prior_entropy: 0.3794, recall: 0.9341, relative_absolute_error: 0.6103, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.9166, kappa: 0.3777, kb_relative_information_score: -1127.1681, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9152, predictive_accuracy: 0.918, prior_entropy: 0.3794, recall: 0.918, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2659, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7472, f_measure: 0.9324, kappa: 0.4605, kb_relative_information_score: -4297.1346, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9303, predictive_accuracy: 0.9389, prior_entropy: 0.3794, recall: 0.9389, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.9161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.9192, kappa: 0.3949, kb_relative_information_score: 3503.5904, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9176, predictive_accuracy: 0.9211, prior_entropy: 0.3794, recall: 0.9211, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2677, root_relative_squared_error: 1.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.9333, kappa: 0.4655, kb_relative_information_score: -5110.1629, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9315, predictive_accuracy: 0.9401, prior_entropy: 0.3794, recall: 0.9401, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.9264, kappa: 0.4271, kb_relative_information_score: 5256.7442, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9234, predictive_accuracy: 0.9313, prior_entropy: 0.3794, recall: 0.9313, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2633, root_relative_squared_error: 1.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.94, kappa: 0.509, kb_relative_information_score: -5369.599, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9414, predictive_accuracy: 0.9477, prior_entropy: 0.3794, recall: 0.9477, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7697, f_measure: 0.9361, kappa: 0.4849, kb_relative_information_score: -4093.3835, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9351, predictive_accuracy: 0.9431, prior_entropy: 0.3794, recall: 0.9431, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.8897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7537, f_measure: 0.9338, kappa: 0.4676, kb_relative_information_score: -4558.5937, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9322, predictive_accuracy: 0.9408, prior_entropy: 0.3794, recall: 0.9408, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.9396, kappa: 0.508, kb_relative_information_score: -4725.4671, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9403, predictive_accuracy: 0.9469, prior_entropy: 0.3794, recall: 0.9469, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.9338, kappa: 0.468, kb_relative_information_score: -4594.6908, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9322, predictive_accuracy: 0.9408, prior_entropy: 0.3794, recall: 0.9408, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.236, root_relative_squared_error: 0.9036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.9352, kappa: 0.4788, kb_relative_information_score: -5078.4699, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9337, predictive_accuracy: 0.9419, prior_entropy: 0.3794, recall: 0.9419, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.9387, kappa: 0.5033, kb_relative_information_score: -4816.7, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9387, predictive_accuracy: 0.9458, prior_entropy: 0.3794, recall: 0.9458, relative_absolute_error: 0.6343, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.9346, kappa: 0.4748, kb_relative_information_score: -4482.9933, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.933, predictive_accuracy: 0.9413, prior_entropy: 0.3794, recall: 0.9413, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.9338, kappa: 0.4703, kb_relative_information_score: -4562.7168, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.932, predictive_accuracy: 0.9404, prior_entropy: 0.3794, recall: 0.9404, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.9381, kappa: 0.4977, kb_relative_information_score: -5328.9526, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.938, predictive_accuracy: 0.9453, prior_entropy: 0.3794, recall: 0.9453, relative_absolute_error: 0.638, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.231, root_relative_squared_error: 0.8846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7512, f_measure: 0.9277, kappa: 0.4344, kb_relative_information_score: -3294.1884, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9247, predictive_accuracy: 0.9328, prior_entropy: 0.3794, recall: 0.9328, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.9277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.9384, kappa: 0.5, kb_relative_information_score: -4467.6828, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9384, predictive_accuracy: 0.9456, prior_entropy: 0.3794, recall: 0.9456, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.9382, kappa: 0.499, kb_relative_information_score: -4400.4838, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9382, predictive_accuracy: 0.9454, prior_entropy: 0.3794, recall: 0.9454, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.23, root_relative_squared_error: 0.8807,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.9264, kappa: 0.4276, kb_relative_information_score: -2551.4325, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9234, predictive_accuracy: 0.9312, prior_entropy: 0.3794, recall: 0.9312, relative_absolute_error: 0.623, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.9473,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.9362, kappa: 0.4835, kb_relative_information_score: -5199.8374, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9355, predictive_accuracy: 0.9434, prior_entropy: 0.3794, recall: 0.9434, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2335, root_relative_squared_error: 0.8939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.9379, kappa: 0.4953, kb_relative_information_score: -4636.2322, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9381, predictive_accuracy: 0.9454, prior_entropy: 0.3794, recall: 0.9454, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.229, root_relative_squared_error: 0.8769,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.9281, kappa: 0.4335, kb_relative_information_score: -1311.2662, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.925, predictive_accuracy: 0.9337, prior_entropy: 0.3794, recall: 0.9337, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.9437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.9259, kappa: 0.4215, kb_relative_information_score: 5296.8961, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9227, predictive_accuracy: 0.9309, prior_entropy: 0.3794, recall: 0.9309, relative_absolute_error: 0.5849, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2633, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.9285, kappa: 0.4387, kb_relative_information_score: -2893.091, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9255, predictive_accuracy: 0.9338, prior_entropy: 0.3794, recall: 0.9338, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.9347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.9301, kappa: 0.448, kb_relative_information_score: -4138.1187, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9273, predictive_accuracy: 0.9358, prior_entropy: 0.3794, recall: 0.9358, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.9245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.9391, kappa: 0.5059, kb_relative_information_score: -4510.0425, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9393, predictive_accuracy: 0.9462, prior_entropy: 0.3794, recall: 0.9462, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.9319, kappa: 0.4612, kb_relative_information_score: -3940.2265, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9294, predictive_accuracy: 0.9377, prior_entropy: 0.3794, recall: 0.9377, relative_absolute_error: 0.6332, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.9374, kappa: 0.4903, kb_relative_information_score: -4707.5713, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9374, predictive_accuracy: 0.9449, prior_entropy: 0.3794, recall: 0.9449, relative_absolute_error: 0.6342, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.9262, kappa: 0.4298, kb_relative_information_score: -3174.9635, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9233, predictive_accuracy: 0.9304, prior_entropy: 0.3794, recall: 0.9304, relative_absolute_error: 0.631, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.9406, kappa: 0.5144, kb_relative_information_score: -4802.6801, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.942, predictive_accuracy: 0.9481, prior_entropy: 0.3794, recall: 0.9481, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.769, f_measure: 0.9404, kappa: 0.512, kb_relative_information_score: -4678.1764, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9419, predictive_accuracy: 0.948, prior_entropy: 0.3794, recall: 0.948, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.8667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.9238, kappa: 0.4158, kb_relative_information_score: -3280.4737, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9211, predictive_accuracy: 0.9274, prior_entropy: 0.3794, recall: 0.9274, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.9215, kappa: 0.4036, kb_relative_information_score: -3062.5872, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9191, predictive_accuracy: 0.9244, prior_entropy: 0.3794, recall: 0.9244, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.9333, kappa: 0.4671, kb_relative_information_score: -4995.217, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9313, predictive_accuracy: 0.9398, prior_entropy: 0.3794, recall: 0.9398, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.9178, kappa: 0.3865, kb_relative_information_score: 2125.6996, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9164, predictive_accuracy: 0.9193, prior_entropy: 0.3794, recall: 0.9193, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.9329, kappa: 0.4672, kb_relative_information_score: -3795.9083, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9305, predictive_accuracy: 0.9388, prior_entropy: 0.3794, recall: 0.9388, relative_absolute_error: 0.6315, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7206, f_measure: 0.9172, kappa: 0.3818, kb_relative_information_score: 992.4027, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9158, predictive_accuracy: 0.9188, prior_entropy: 0.3794, recall: 0.9188, relative_absolute_error: 0.6351, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2694, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.9147, kappa: 0.372, kb_relative_information_score: 3706.0667, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9143, predictive_accuracy: 0.915, prior_entropy: 0.3794, recall: 0.915, relative_absolute_error: 0.6443, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2897, root_relative_squared_error: 1.1091,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.9241, kappa: 0.4185, kb_relative_information_score: -3353.4298, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9214, predictive_accuracy: 0.9277, prior_entropy: 0.3794, recall: 0.9277, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7038, f_measure: 0.9138, kappa: 0.3684, kb_relative_information_score: 2566.7122, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 0.3794, recall: 0.9139, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2776, root_relative_squared_error: 1.0627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.9339, kappa: 0.472, kb_relative_information_score: -4166.1023, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.932, predictive_accuracy: 0.9403, prior_entropy: 0.3794, recall: 0.9403, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.9016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.9151, kappa: 0.3701, kb_relative_information_score: -242.5391, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9141, predictive_accuracy: 0.9162, prior_entropy: 0.3794, recall: 0.9162, relative_absolute_error: 0.6484, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.272, root_relative_squared_error: 1.0414,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.9268, kappa: 0.4287, kb_relative_information_score: -2438.6739, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9238, predictive_accuracy: 0.9319, prior_entropy: 0.3794, recall: 0.9319, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.9468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.9376, kappa: 0.4951, kb_relative_information_score: -4490.5559, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9372, predictive_accuracy: 0.9447, prior_entropy: 0.3794, recall: 0.9447, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.9231, kappa: 0.4102, kb_relative_information_score: -3456.1631, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9203, predictive_accuracy: 0.9268, prior_entropy: 0.3794, recall: 0.9268, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.9356, kappa: 0.4796, kb_relative_information_score: -5237.9651, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9347, predictive_accuracy: 0.9428, prior_entropy: 0.3794, recall: 0.9428, relative_absolute_error: 0.6393, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.8943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.9183, kappa: 0.3898, kb_relative_information_score: -352.0945, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9169, predictive_accuracy: 0.9199, prior_entropy: 0.3794, recall: 0.9199, relative_absolute_error: 0.6321, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2615, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7638, f_measure: 0.9375, kappa: 0.4921, kb_relative_information_score: -4632.4792, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9376, predictive_accuracy: 0.945, prior_entropy: 0.3794, recall: 0.945, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.9394, kappa: 0.5067, kb_relative_information_score: -4496.2119, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9399, predictive_accuracy: 0.9467, prior_entropy: 0.3794, recall: 0.9467, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.8748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.9347, kappa: 0.4751, kb_relative_information_score: -4927.6144, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9333, predictive_accuracy: 0.9416, prior_entropy: 0.3794, recall: 0.9416, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.8962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7702, f_measure: 0.9408, kappa: 0.5169, kb_relative_information_score: -4887.9122, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9422, predictive_accuracy: 0.9482, prior_entropy: 0.3794, recall: 0.9482, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.9325, kappa: 0.4609, kb_relative_information_score: -4679.6097, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9303, predictive_accuracy: 0.9389, prior_entropy: 0.3794, recall: 0.9389, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.9376, kappa: 0.4954, kb_relative_information_score: -4572.3019, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9372, predictive_accuracy: 0.9447, prior_entropy: 0.3794, recall: 0.9447, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.9288, kappa: 0.4376, kb_relative_information_score: -3317.5653, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9259, predictive_accuracy: 0.9348, prior_entropy: 0.3794, recall: 0.9348, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.9364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7648, f_measure: 0.9348, kappa: 0.4767, kb_relative_information_score: -4374.0309, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9333, predictive_accuracy: 0.9415, prior_entropy: 0.3794, recall: 0.9415, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.9377, kappa: 0.4937, kb_relative_information_score: -4678.5841, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9379, predictive_accuracy: 0.9452, prior_entropy: 0.3794, recall: 0.9452, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.8782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.9217, kappa: 0.4038, kb_relative_information_score: -3400.6703, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9192, predictive_accuracy: 0.9249, prior_entropy: 0.3794, recall: 0.9249, relative_absolute_error: 0.6409, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.251, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.9334, kappa: 0.4657, kb_relative_information_score: -4671.9295, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9317, predictive_accuracy: 0.9403, prior_entropy: 0.3794, recall: 0.9403, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.236, root_relative_squared_error: 0.9037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.9401, kappa: 0.5099, kb_relative_information_score: -4820.3553, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9414, predictive_accuracy: 0.9477, prior_entropy: 0.3794, recall: 0.9477, relative_absolute_error: 0.6341, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.9253, kappa: 0.4198, kb_relative_information_score: -2475.836, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9222, predictive_accuracy: 0.9299, prior_entropy: 0.3794, recall: 0.9299, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.9369, kappa: 0.49, kb_relative_information_score: -4114.7162, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9362, predictive_accuracy: 0.9439, prior_entropy: 0.3794, recall: 0.9439, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.8857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.9193, kappa: 0.3974, kb_relative_information_score: 4281.3458, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9179, predictive_accuracy: 0.9208, prior_entropy: 0.3794, recall: 0.9208, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7392, f_measure: 0.9303, kappa: 0.4483, kb_relative_information_score: -1136.9506, mean_absolute_error: 0.0827, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9276, predictive_accuracy: 0.9362, prior_entropy: 0.3794, recall: 0.9362, relative_absolute_error: 0.6064, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.9366, kappa: 0.4866, kb_relative_information_score: -5043.1189, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1364, number_of_instances: 50000, precision: 0.9361, predictive_accuracy: 0.9439, prior_entropy: 0.3794, recall: 0.9439, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.2612, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.8872,

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