Task
Supervised Classification on analcatdata_chlamydia

Supervised Classification on analcatdata_chlamydia

Task 3739 Supervised Classification analcatdata_chlamydia 974 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4773, f_measure: 0.7418, kappa: 0.1131, kb_relative_information_score: -0.9078, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7288, predictive_accuracy: 0.76, prior_entropy: 0.714, recall: 0.76, relative_absolute_error: 0.9199, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.8074, kappa: 0.3017, kb_relative_information_score: 31.8327, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8734, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2971, root_relative_squared_error: 0.7572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.907, kappa: 0.6888, kb_relative_information_score: 61.4013, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9065, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.3153, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.7073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7099, kappa: -0.0547, kb_relative_information_score: 9.4382, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6513, predictive_accuracy: 0.78, prior_entropy: 0.714, recall: 0.78, relative_absolute_error: 0.8051, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.9834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8924, kappa: 0.6305, kb_relative_information_score: 38.4717, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8963, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.5537, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9276, kappa: 0.758, kb_relative_information_score: 68.9705, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.928, predictive_accuracy: 0.93, prior_entropy: 0.714, recall: 0.93, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.907, kappa: 0.6888, kb_relative_information_score: 63.7555, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9065, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.3014, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2847, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.725, kb_relative_information_score: 8.1534, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.8464, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.725, kb_relative_information_score: 14.9316, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7304, kappa: 0.0223, kb_relative_information_score: 8.3245, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7056, predictive_accuracy: 0.79, prior_entropy: 0.714, recall: 0.79, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.8866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.725, kb_relative_information_score: 18.2792, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3319, root_relative_squared_error: 0.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8799, kappa: 0.584, kb_relative_information_score: 36.6176, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8855, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.6583, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8744, kappa: 0.576, kb_relative_information_score: 57.6951, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8731, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.725, kb_relative_information_score: 2.0367, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.725, kb_relative_information_score: 3.1219, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: -0.7809, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.725, kb_relative_information_score: 11.4802, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.8737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7488, kappa: 0.1301, kb_relative_information_score: 16.0626, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7353, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.7103, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.725, kb_relative_information_score: 17.1772, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9091, kappa: 0.7016, kb_relative_information_score: 63.1066, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9084, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.3113, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.8564, kappa: 0.4859, kb_relative_information_score: 33.9977, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8955, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.673, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.7488, kappa: 0.1301, kb_relative_information_score: 12.4096, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7353, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.2223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4708, f_measure: 0.725, kb_relative_information_score: 0.6513, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3926, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.8863, kappa: 0.6196, kb_relative_information_score: 57.2048, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.885, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.8453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.8621, kappa: 0.5303, kb_relative_information_score: 32.5221, mean_absolute_error: 0.196, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8609, predictive_accuracy: 0.87, prior_entropy: 0.714, recall: 0.87, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.7397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.92, kappa: 0.7401, kb_relative_information_score: 68.4036, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.92, predictive_accuracy: 0.92, prior_entropy: 0.714, recall: 0.92, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.7209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 53.4719, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 53.4719, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 53.4719, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.8774, kappa: 0.5938, kb_relative_information_score: 53.4719, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8758, predictive_accuracy: 0.88, prior_entropy: 0.714, recall: 0.88, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.8829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.907, kappa: 0.6888, kb_relative_information_score: 59.1859, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9065, predictive_accuracy: 0.91, prior_entropy: 0.714, recall: 0.91, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.6368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.8946, kappa: 0.6753, kb_relative_information_score: 55.7826, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9047, predictive_accuracy: 0.89, prior_entropy: 0.714, recall: 0.89, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.6362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.9, kappa: 0.6751, kb_relative_information_score: 60.9377, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694, scimark_benchmark: 1334.6235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8851, kappa: 0.5932, kb_relative_information_score: 38.3922, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.911, predictive_accuracy: 0.9, prior_entropy: 0.714, recall: 0.9, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.2723, root_relative_squared_error: 0.694, scimark_benchmark: 1322.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8563, kappa: 0.5573, kb_relative_information_score: 46.3448, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8675, predictive_accuracy: 0.85, prior_entropy: 0.714, recall: 0.85, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.8515, scimark_benchmark: 1323.7833, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5559, f_measure: 0.7488, kappa: 0.1301, kb_relative_information_score: 12.4096, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7353, predictive_accuracy: 0.77, prior_entropy: 0.714, recall: 0.77, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.2223, usercpu_time_millis: 0.536, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.727, kappa: 0.0545, kb_relative_information_score: 4.9438, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.7102, predictive_accuracy: 0.75, prior_entropy: 0.714, recall: 0.75, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.5, root_relative_squared_error: 1.2744, usercpu_time_millis: 0.687, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 0.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, usercpu_time_millis: 0.951, usercpu_time_millis_testing: 0.473, usercpu_time_millis_training: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, usercpu_time_millis: 0.692, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, usercpu_time_millis: 1.059, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 0.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111, usercpu_time_millis: 0.81, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 0.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.725, kb_relative_information_score: 27.3414, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.6561, predictive_accuracy: 0.81, prior_entropy: 0.714, recall: 0.81, relative_absolute_error: 0.6098, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.4359, root_relative_squared_error: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8129, f_measure: 0.8649, kappa: 0.5791, kb_relative_information_score: 46.006, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.3116, number_of_instances: 100, precision: 0.8731, predictive_accuracy: 0.86, prior_entropy: 0.714, recall: 0.86, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3923, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9537, scimark_benchmark: 1870.7932,

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