Task
Supervised Classification on churn

Supervised Classification on churn

Task 146227 Supervised Classification churn 2049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.9462, kappa: 0.7674, kb_relative_information_score: 2593.1769, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9482, predictive_accuracy: 0.9492, prior_entropy: 0.5883, recall: 0.9492, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9337, kappa: 0.717, kb_relative_information_score: 3057.204, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9335, predictive_accuracy: 0.9364, prior_entropy: 0.5883, recall: 0.9364, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.7008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7933, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.7372, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.8224, kappa: 0.156, kb_relative_information_score: 1474.0337, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8335, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3626, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8342, kappa: 0.222, kb_relative_information_score: 856.3427, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8393, predictive_accuracy: 0.867, prior_entropy: 0.5883, recall: 0.867, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.8603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8487, kappa: 0.3086, kb_relative_information_score: 955.3295, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8469, predictive_accuracy: 0.87, prior_entropy: 0.5883, recall: 0.87, relative_absolute_error: 0.6524, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.7933, kb_relative_information_score: -2.8488, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.7372, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3484, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8856, kappa: 0.4715, kb_relative_information_score: 1812.135, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9047, predictive_accuracy: 0.9042, prior_entropy: 0.5883, recall: 0.9042, relative_absolute_error: 0.656, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2597, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.7933, kb_relative_information_score: 1.2699, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.7372, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3484, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8595, kappa: 0.3673, kb_relative_information_score: 784.2834, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8571, predictive_accuracy: 0.8756, prior_entropy: 0.5883, recall: 0.8756, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.8636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.9337, kappa: 0.717, kb_relative_information_score: 3057.204, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9335, predictive_accuracy: 0.9364, prior_entropy: 0.5883, recall: 0.9364, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.7008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.8232, kappa: 0.1605, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8333, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.9415, kappa: 0.749, kb_relative_information_score: 3554.6244, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9421, predictive_accuracy: 0.9442, prior_entropy: 0.5883, recall: 0.9442, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.6779, usercpu_time_millis: 0.53, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.8737, kappa: 0.4387, kb_relative_information_score: 801.6415, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8719, predictive_accuracy: 0.8856, prior_entropy: 0.5883, recall: 0.8856, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8532, kappa: 0.3687, kb_relative_information_score: 824.7486, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8484, predictive_accuracy: 0.8602, prior_entropy: 0.5883, recall: 0.8602, relative_absolute_error: 0.6834, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.291, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8718, kappa: 0.4302, kb_relative_information_score: 772.8303, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8696, predictive_accuracy: 0.8838, prior_entropy: 0.5883, recall: 0.8838, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.8469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, f_measure: 0.8604, kappa: 0.3965, kb_relative_information_score: 606.9264, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8558, predictive_accuracy: 0.868, prior_entropy: 0.5883, recall: 0.868, relative_absolute_error: 0.7049, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.9175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.8733, kappa: 0.4367, kb_relative_information_score: 1559.9393, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8714, predictive_accuracy: 0.8852, prior_entropy: 0.5883, recall: 0.8852, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.752, f_measure: 0.8378, kappa: 0.2697, kb_relative_information_score: 797.1185, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8305, predictive_accuracy: 0.8564, prior_entropy: 0.5883, recall: 0.8564, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.9777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8849, f_measure: 0.8579, kappa: 0.3307, kb_relative_information_score: 1677.6114, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8881, predictive_accuracy: 0.8876, prior_entropy: 0.5883, recall: 0.8876, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2829, root_relative_squared_error: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.944, kappa: 0.7608, kb_relative_information_score: 3052.3569, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9442, predictive_accuracy: 0.9462, prior_entropy: 0.5883, recall: 0.9462, relative_absolute_error: 0.3535, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.7933, kb_relative_information_score: -2.8488, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.7372, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3484, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9433, kappa: 0.7584, kb_relative_information_score: 3583.5124, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9433, predictive_accuracy: 0.9454, prior_entropy: 0.5883, recall: 0.9454, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.6516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.8519, kappa: 0.3273, kb_relative_information_score: 200.2033, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8496, predictive_accuracy: 0.8712, prior_entropy: 0.5883, recall: 0.8712, relative_absolute_error: 0.7225, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.9073, kappa: 0.6012, kb_relative_information_score: 1827.6773, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9059, predictive_accuracy: 0.9118, prior_entropy: 0.5883, recall: 0.9118, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.7583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8597, kappa: 0.3675, kb_relative_information_score: 1003.4215, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8575, predictive_accuracy: 0.876, prior_entropy: 0.5883, recall: 0.876, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.8625, kappa: 0.3976, kb_relative_information_score: 622.1211, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8579, predictive_accuracy: 0.8724, prior_entropy: 0.5883, recall: 0.8724, relative_absolute_error: 0.7909, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.9489, kappa: 0.7818, kb_relative_information_score: 3332.5038, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9495, predictive_accuracy: 0.951, prior_entropy: 0.5883, recall: 0.951, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9538, kappa: 0.8014, kb_relative_information_score: 3376.6495, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9553, predictive_accuracy: 0.956, prior_entropy: 0.5883, recall: 0.956, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.195, root_relative_squared_error: 0.5595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8843, kappa: 0.5105, kb_relative_information_score: 1391.4743, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8819, predictive_accuracy: 0.8876, prior_entropy: 0.5883, recall: 0.8876, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.913, kappa: 0.6154, kb_relative_information_score: 2939.4898, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9159, predictive_accuracy: 0.9204, prior_entropy: 0.5883, recall: 0.9204, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.8097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.8716, kappa: 0.4093, kb_relative_information_score: 2189.956, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8814, predictive_accuracy: 0.8914, prior_entropy: 0.5883, recall: 0.8914, relative_absolute_error: 0.4471, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.9458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.9135, kappa: 0.6178, kb_relative_information_score: 2949.8282, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9163, predictive_accuracy: 0.9208, prior_entropy: 0.5883, recall: 0.9208, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.8077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.651, f_measure: 0.8708, kappa: 0.4034, kb_relative_information_score: 2195.1252, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8828, predictive_accuracy: 0.8916, prior_entropy: 0.5883, recall: 0.8916, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.8227, kappa: 0.1575, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8335, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.8938, kappa: 0.5297, kb_relative_information_score: 2494.9387, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8944, predictive_accuracy: 0.9032, prior_entropy: 0.5883, recall: 0.9032, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.8751, kappa: 0.4269, kb_relative_information_score: 2251.9864, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8847, predictive_accuracy: 0.8938, prior_entropy: 0.5883, recall: 0.8938, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.9292, kappa: 0.6956, kb_relative_information_score: 3254.8109, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9292, predictive_accuracy: 0.9326, prior_entropy: 0.5883, recall: 0.9326, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.8559, kappa: 0.3248, kb_relative_information_score: 1993.5265, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8746, predictive_accuracy: 0.8838, prior_entropy: 0.5883, recall: 0.8838, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.8943, kappa: 0.5329, kb_relative_information_score: 2500.1079, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8947, predictive_accuracy: 0.9034, prior_entropy: 0.5883, recall: 0.9034, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3108, root_relative_squared_error: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.823, kappa: 0.159, kb_relative_information_score: 1486.945, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8334, predictive_accuracy: 0.8642, prior_entropy: 0.5883, recall: 0.8642, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.0576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.8318, kappa: 0.2047, kb_relative_information_score: 1600.6674, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8442, predictive_accuracy: 0.8686, prior_entropy: 0.5883, recall: 0.8686, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3625, root_relative_squared_error: 1.0403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9248, kappa: 0.6765, kb_relative_information_score: 3146.2577, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9245, predictive_accuracy: 0.9284, prior_entropy: 0.5883, recall: 0.9284, relative_absolute_error: 0.2948, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.9032, kappa: 0.5842, kb_relative_information_score: 2613.8303, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.9016, predictive_accuracy: 0.9078, prior_entropy: 0.5883, recall: 0.9078, relative_absolute_error: 0.3796, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7946, kappa: 0.0069, kb_relative_information_score: 1352.5458, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, precision: 0.8437, predictive_accuracy: 0.859, prior_entropy: 0.5883, recall: 0.859, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.0777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1342.2074, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2429, number_of_instances: 5000, predictive_accuracy: 0.8586, prior_entropy: 0.5883, recall: 0.8586, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.3484, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0792,

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