OpenML
Supervised Classification on fri_c0_500_10

Supervised Classification on fri_c0_500_10

Task 3806 Supervised Classification fri_c0_500_10 591 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.8536, kappa: 0.7068, kb_relative_information_score: 287.4092, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8557, predictive_accuracy: 0.854, prior_entropy: 0.9991, recall: 0.854, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6452, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 1051.249, usercpu_time_millis: 9260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 256.0432, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7672, scimark_benchmark: 934.695, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 917.5013, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8558, kappa: 0.7112, kb_relative_information_score: 265.9736, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8564, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6431, scimark_benchmark: 936.3373, usercpu_time_millis: 2890, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8699, kappa: 0.7393, kb_relative_information_score: 266.5043, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8703, predictive_accuracy: 0.87, prior_entropy: 0.9991, recall: 0.87, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6438, scimark_benchmark: 935.5664, usercpu_time_millis: 1310, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8459, kappa: 0.6913, kb_relative_information_score: 263.6278, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8461, predictive_accuracy: 0.846, prior_entropy: 0.9991, recall: 0.846, relative_absolute_error: 0.5125, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.6497, scimark_benchmark: 910.2405, usercpu_time_millis: 660, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.8497, kappa: 0.699, kb_relative_information_score: 260.5156, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8509, predictive_accuracy: 0.85, prior_entropy: 0.9991, recall: 0.85, relative_absolute_error: 0.5179, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6615, scimark_benchmark: 924.2305, usercpu_time_millis: 320, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.842, kappa: 0.6835, kb_relative_information_score: 254.8445, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9991, recall: 0.842, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6788, scimark_benchmark: 936.7184, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.878, kappa: 0.7557, kb_relative_information_score: 341.3084, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6101, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.878, kappa: 0.7557, kb_relative_information_score: 341.3084, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6101, scimark_benchmark: 926.5859, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.878, kappa: 0.7557, kb_relative_information_score: 341.3084, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.878, predictive_accuracy: 0.878, prior_entropy: 0.9991, recall: 0.878, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3049, root_relative_squared_error: 0.6101, scimark_benchmark: 894.7131, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.876, kappa: 0.7518, kb_relative_information_score: 334.4348, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9991, recall: 0.876, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6238, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.856, kappa: 0.7118, kb_relative_information_score: 297.9591, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8562, predictive_accuracy: 0.856, prior_entropy: 0.9991, recall: 0.856, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6491, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.3535, kb_relative_information_score: -0.0124, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.884, kappa: 0.7677, kb_relative_information_score: 375.435, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9991, recall: 0.884, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.616, scimark_benchmark: 926.5859, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.8759, kappa: 0.7515, kb_relative_information_score: 372.0077, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8761, predictive_accuracy: 0.876, prior_entropy: 0.9991, recall: 0.876, relative_absolute_error: 0.2594, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6137, scimark_benchmark: 935.6052, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.852, kappa: 0.7036, kb_relative_information_score: 340.1961, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.852, predictive_accuracy: 0.852, prior_entropy: 0.9991, recall: 0.852, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6745, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8376, kappa: 0.6748, kb_relative_information_score: 315.4988, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8392, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7535, scimark_benchmark: 940.0055, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8358, kappa: 0.6711, kb_relative_information_score: 311.4742, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8363, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7616, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3535, kb_relative_information_score: 17.101, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.2683, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9652, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6943, root_relative_squared_error: 1.3894, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8075, kappa: 0.6145, kb_relative_information_score: 297.9707, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8091, predictive_accuracy: 0.808, prior_entropy: 0.9991, recall: 0.808, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8222, scimark_benchmark: 942.6192, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8275, kappa: 0.6546, kb_relative_information_score: 112.1293, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8296, predictive_accuracy: 0.828, prior_entropy: 0.9991, recall: 0.828, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8425, scimark_benchmark: 923.7471, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.736, kappa: 0.4727, kb_relative_information_score: 108.8582, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.7415, predictive_accuracy: 0.738, prior_entropy: 0.9991, recall: 0.738, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8566, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 907.1091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 926.4745, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8359, kappa: 0.6714, kb_relative_information_score: 279.2013, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6818, scimark_benchmark: 933.5515, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 939.3886, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 938.838, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 938.838,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 922.5036, usercpu_time_millis: 7410, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 7350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 256.0432, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7672, scimark_benchmark: 1317.2327, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 1274.7011, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8925, f_measure: 0.8361, kappa: 0.672, kb_relative_information_score: 220.4399, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8365, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7261, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 1322.3407, usercpu_time_millis: 7010, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1343.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 1345.6844, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 1334.863, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.86, kappa: 0.7196, kb_relative_information_score: 292.307, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.6433, scimark_benchmark: 1339.4412, usercpu_time_millis: 3420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 3380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 232.5178, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7163, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.805, kappa: 0.61, kb_relative_information_score: 256.0432, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8089, predictive_accuracy: 0.806, prior_entropy: 0.9991, recall: 0.806, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.7672, scimark_benchmark: 1338.5214, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8658, kappa: 0.7312, kb_relative_information_score: 279.0845, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8665, predictive_accuracy: 0.866, prior_entropy: 0.9991, recall: 0.866, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6325, scimark_benchmark: 1354.5533, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.8375, kappa: 0.6746, kb_relative_information_score: 266.799, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8399, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.7236, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8378, kappa: 0.6752, kb_relative_information_score: 242.4717, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8382, predictive_accuracy: 0.838, prior_entropy: 0.9991, recall: 0.838, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6865, scimark_benchmark: 1319.5773, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8476, kappa: 0.6948, kb_relative_information_score: 328.1017, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8494, predictive_accuracy: 0.848, prior_entropy: 0.9991, recall: 0.848, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7195, scimark_benchmark: 1321.4771, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.8359, kappa: 0.6714, kb_relative_information_score: 279.2013, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.836, predictive_accuracy: 0.836, prior_entropy: 0.9991, recall: 0.836, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.6818, scimark_benchmark: 1339.3082, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8598, kappa: 0.7192, kb_relative_information_score: 359.7363, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4994, number_of_instances: 500, precision: 0.8604, predictive_accuracy: 0.86, prior_entropy: 0.9991, recall: 0.86, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7488, scimark_benchmark: 1347.7267, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,

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