OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9649, kappa: 0.8635, kb_relative_information_score: 5169.2272, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9648, predictive_accuracy: 0.9654, prior_entropy: 0.6204, recall: 0.9654, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4626, scimark_benchmark: 1242.592, usercpu_time_millis: 860.593, usercpu_time_millis_testing: 9.995, usercpu_time_millis_training: 850.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6575.0827, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0166, root_relative_squared_error: 0.046, scimark_benchmark: 1294.8869, usercpu_time_millis: 215.167, usercpu_time_millis_testing: 1.399, usercpu_time_millis_training: 213.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1234.9512, usercpu_time_millis: 266.859, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 266.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1273.486, usercpu_time_millis: 225.264, usercpu_time_millis_testing: 0.735, usercpu_time_millis_training: 224.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, f_measure: 0.9196, kappa: 0.6735, kb_relative_information_score: 3503.7979, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.922, predictive_accuracy: 0.9251, prior_entropy: 0.6204, recall: 0.9251, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6787, scimark_benchmark: 1237.7449, usercpu_time_millis: 619.554, usercpu_time_millis_testing: 6.283, usercpu_time_millis_training: 613.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9901, kappa: 0.9622, kb_relative_information_score: 6175.2188, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.6204, recall: 0.9901, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.2443, scimark_benchmark: 1278.389, usercpu_time_millis: 307.805, usercpu_time_millis_testing: 2.319, usercpu_time_millis_training: 305.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9621, kappa: 0.8521, kb_relative_information_score: 5214.1774, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9621, predictive_accuracy: 0.9629, prior_entropy: 0.6204, recall: 0.9629, relative_absolute_error: 0.202, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4551, scimark_benchmark: 1222.6319, usercpu_time_millis: 952.693, usercpu_time_millis_testing: 10.199, usercpu_time_millis_training: 942.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9572, kappa: 0.8312, kb_relative_information_score: 4868.0689, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9576, predictive_accuracy: 0.9585, prior_entropy: 0.6204, recall: 0.9585, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4903, scimark_benchmark: 1270.3498, usercpu_time_millis: 568.801, usercpu_time_millis_testing: 5.428, usercpu_time_millis_training: 563.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1229.3227, usercpu_time_millis: 272.161, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 271.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9765, kappa: 0.9086, kb_relative_information_score: 5728.8331, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9765, predictive_accuracy: 0.9768, prior_entropy: 0.6204, recall: 0.9768, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1311, root_relative_squared_error: 0.3631, scimark_benchmark: 1285.6436, usercpu_time_millis: 554.024, usercpu_time_millis_testing: 4.453, usercpu_time_millis_training: 549.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9888, kappa: 0.9569, kb_relative_information_score: 6171.7936, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9888, predictive_accuracy: 0.9888, prior_entropy: 0.6204, recall: 0.9888, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.2472, scimark_benchmark: 1260.089, usercpu_time_millis: 333.639, usercpu_time_millis_testing: 2.831, usercpu_time_millis_training: 330.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6547.0572, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0197, root_relative_squared_error: 0.0545, scimark_benchmark: 1230.5383, usercpu_time_millis: 484.456, usercpu_time_millis_testing: 3.706, usercpu_time_millis_training: 480.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6502.3085, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0371, root_relative_squared_error: 0.1026, scimark_benchmark: 1253.6623, usercpu_time_millis: 247.894, usercpu_time_millis_testing: 1.685, usercpu_time_millis_training: 246.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9367, kappa: 0.7517, kb_relative_information_score: 4150.4504, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9362, predictive_accuracy: 0.9382, prior_entropy: 0.6204, recall: 0.9382, relative_absolute_error: 0.3303, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.5992, scimark_benchmark: 1280.4907, usercpu_time_millis: 652.467, usercpu_time_millis_testing: 7.046, usercpu_time_millis_training: 645.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9425, kappa: 0.7694, kb_relative_information_score: 4427.5064, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9443, predictive_accuracy: 0.9454, prior_entropy: 0.6204, recall: 0.9454, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2017, root_relative_squared_error: 0.5586, scimark_benchmark: 1274.6539, usercpu_time_millis: 521.783, usercpu_time_millis_testing: 3.996, usercpu_time_millis_training: 517.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9584, kappa: 0.8372, kb_relative_information_score: 5033.193, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9583, predictive_accuracy: 0.9592, prior_entropy: 0.6204, recall: 0.9592, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.4836, scimark_benchmark: 1277.513, usercpu_time_millis: 598.046, usercpu_time_millis_testing: 5.944, usercpu_time_millis_training: 592.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6493.4259, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.0166, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0307, root_relative_squared_error: 0.0851, scimark_benchmark: 1232.3755, usercpu_time_millis: 452.594, usercpu_time_millis_testing: 3.192, usercpu_time_millis_training: 449.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9494, kappa: 0.8019, kb_relative_information_score: 4707.8442, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9491, predictive_accuracy: 0.9504, prior_entropy: 0.6204, recall: 0.9504, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.5394, scimark_benchmark: 1256.9897, usercpu_time_millis: 627.707, usercpu_time_millis_testing: 5.628, usercpu_time_millis_training: 622.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.9209, kappa: 0.6784, kb_relative_information_score: 3560.0435, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9238, predictive_accuracy: 0.9265, prior_entropy: 0.6204, recall: 0.9265, relative_absolute_error: 0.4358, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.668, scimark_benchmark: 1275.9354, usercpu_time_millis: 595.364, usercpu_time_millis_testing: 6.697, usercpu_time_millis_training: 588.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9855, kappa: 0.9441, kb_relative_information_score: 6070.0605, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9855, predictive_accuracy: 0.9856, prior_entropy: 0.6204, recall: 0.9856, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.2737, scimark_benchmark: 1229.2703, usercpu_time_millis: 562.844, usercpu_time_millis_testing: 3.681, usercpu_time_millis_training: 559.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9953, kappa: 0.982, kb_relative_information_score: 6364.8266, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9953, predictive_accuracy: 0.9953, prior_entropy: 0.6204, recall: 0.9953, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.1787, scimark_benchmark: 1236.2071, usercpu_time_millis: 314.063, usercpu_time_millis_testing: 1.692, usercpu_time_millis_training: 312.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6471.1732, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.1093, scimark_benchmark: 1268.3559, usercpu_time_millis: 426.985, usercpu_time_millis_testing: 3.139, usercpu_time_millis_training: 423.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9719, kappa: 0.8907, kb_relative_information_score: 5527.5185, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.972, predictive_accuracy: 0.9724, prior_entropy: 0.6204, recall: 0.9724, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.4001, scimark_benchmark: 1271.7059, usercpu_time_millis: 627.402, usercpu_time_millis_testing: 6.038, usercpu_time_millis_training: 621.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9199, kappa: 0.6746, kb_relative_information_score: 3498.7354, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9222, predictive_accuracy: 0.9253, prior_entropy: 0.6204, recall: 0.9253, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.6783, scimark_benchmark: 1238.2274, usercpu_time_millis: 567.907, usercpu_time_millis_testing: 4.455, usercpu_time_millis_training: 563.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: 6553.8074, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 0.006, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0269, root_relative_squared_error: 0.0745, scimark_benchmark: 1246.8629, usercpu_time_millis: 257.929, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 257.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9488, kappa: 0.8, kb_relative_information_score: 4703.3411, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9485, predictive_accuracy: 0.9498, prior_entropy: 0.6204, recall: 0.9498, relative_absolute_error: 0.2728, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1953, root_relative_squared_error: 0.5408, scimark_benchmark: 1232.4326, usercpu_time_millis: 630.83, usercpu_time_millis_testing: 6.018, usercpu_time_millis_training: 624.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1216.4013, usercpu_time_millis: 252.527, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 251.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1228.449, usercpu_time_millis: 253.804, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 253.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9675, kappa: 0.8736, kb_relative_information_score: 5311.9276, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9674, predictive_accuracy: 0.9679, prior_entropy: 0.6204, recall: 0.9679, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.4429, scimark_benchmark: 1266.761, usercpu_time_millis: 557.561, usercpu_time_millis_testing: 5.601, usercpu_time_millis_training: 551.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.9201, kappa: 0.6753, kb_relative_information_score: 3435.2293, mean_absolute_error: 0.1178, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9226, predictive_accuracy: 0.9256, prior_entropy: 0.6204, recall: 0.9256, relative_absolute_error: 0.4517, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.245, root_relative_squared_error: 0.6786, scimark_benchmark: 1259.5391, usercpu_time_millis: 495.004, usercpu_time_millis_testing: 5.365, usercpu_time_millis_training: 489.639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9898, kappa: 0.961, kb_relative_information_score: 6160.0341, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.6204, recall: 0.9898, relative_absolute_error: 0.0662, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.2485, scimark_benchmark: 1252.8035, usercpu_time_millis: 300.868, usercpu_time_millis_testing: 2.128, usercpu_time_millis_training: 298.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 6578.0179, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6204, recall: 1, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0087, root_relative_squared_error: 0.024, scimark_benchmark: 1282.7205, usercpu_time_millis: 272.143, usercpu_time_millis_testing: 2.191, usercpu_time_millis_training: 269.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1234.0387, usercpu_time_millis: 250.814, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 250.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1245.6057, usercpu_time_millis: 251.638, usercpu_time_millis_testing: 0.767, usercpu_time_millis_training: 250.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.9942, kb_relative_information_score: 6531.104, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.6204, recall: 0.9985, relative_absolute_error: 0.0106, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0361, root_relative_squared_error: 0.1001, scimark_benchmark: 1244.2407, usercpu_time_millis: 247.842, usercpu_time_millis_testing: 1.114, usercpu_time_millis_training: 246.728,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6712, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0153, root_relative_squared_error: 0.0422, scimark_benchmark: 1261.9864, usercpu_time_millis: 245.661, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 244.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.972, kappa: 0.8909, kb_relative_information_score: 5521.8019, mean_absolute_error: 0.0415, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.972, predictive_accuracy: 0.9724, prior_entropy: 0.6204, recall: 0.9724, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.403, scimark_benchmark: 1237.5912, usercpu_time_millis: 593.086, usercpu_time_millis_testing: 6.462, usercpu_time_millis_training: 586.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9775, kappa: 0.9127, kb_relative_information_score: 5824.7647, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.6204, recall: 0.9777, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.34, scimark_benchmark: 1217.6901, usercpu_time_millis: 465.669, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 462.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.8888, kappa: 0.5241, kb_relative_information_score: 2440.8519, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9159, predictive_accuracy: 0.9066, prior_entropy: 0.6204, recall: 0.9066, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.7979, scimark_benchmark: 1255.7154, usercpu_time_millis: 630.996, usercpu_time_millis_testing: 7.487, usercpu_time_millis_training: 623.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9616, kappa: 0.8499, kb_relative_information_score: 5028.2022, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9617, predictive_accuracy: 0.9624, prior_entropy: 0.6204, recall: 0.9624, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.4565, scimark_benchmark: 1217.3107, usercpu_time_millis: 412.325, usercpu_time_millis_testing: 2.749, usercpu_time_millis_training: 409.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9492, kappa: 0.8015, kb_relative_information_score: 4708.2129, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9489, predictive_accuracy: 0.9501, prior_entropy: 0.6204, recall: 0.9501, relative_absolute_error: 0.2717, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.5405, scimark_benchmark: 1266.963, usercpu_time_millis: 606.843, usercpu_time_millis_testing: 6.767, usercpu_time_millis_training: 600.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9973, kappa: 0.9896, kb_relative_information_score: 6451.0945, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0218, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0512, root_relative_squared_error: 0.1419, scimark_benchmark: 1243.9769, usercpu_time_millis: 268.825, usercpu_time_millis_testing: 1.39, usercpu_time_millis_training: 267.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9699, kappa: 0.8829, kb_relative_information_score: 5488.853, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9698, predictive_accuracy: 0.9703, prior_entropy: 0.6204, recall: 0.9703, relative_absolute_error: 0.172, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4087, scimark_benchmark: 1267.6958, usercpu_time_millis: 384.778, usercpu_time_millis_testing: 2.695, usercpu_time_millis_training: 382.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9941, kappa: 0.9773, kb_relative_information_score: 6299.4788, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 0.6204, recall: 0.9941, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0725, root_relative_squared_error: 0.2008, scimark_benchmark: 1268.4967, usercpu_time_millis: 314.995, usercpu_time_millis_testing: 2.516, usercpu_time_millis_training: 312.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9485, kappa: 0.7999, kb_relative_information_score: 4658.375, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9482, predictive_accuracy: 0.9492, prior_entropy: 0.6204, recall: 0.9492, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1962, root_relative_squared_error: 0.5434, scimark_benchmark: 1323.3152, usercpu_time_millis: 714.832, usercpu_time_millis_testing: 9.116, usercpu_time_millis_training: 705.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9194, kappa: 0.6725, kb_relative_information_score: 3494.6426, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9217, predictive_accuracy: 0.9248, prior_entropy: 0.6204, recall: 0.9248, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1336.2043, usercpu_time_millis: 641.315, usercpu_time_millis_testing: 7.284, usercpu_time_millis_training: 634.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1261.7172, usercpu_time_millis: 261.312, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 260.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1309.032, usercpu_time_millis: 247.359, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 246.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9335, kappa: 0.7316, kb_relative_information_score: 4201.8429, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9357, predictive_accuracy: 0.9374, prior_entropy: 0.6204, recall: 0.9374, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2123, root_relative_squared_error: 0.5881, scimark_benchmark: 1347.259, usercpu_time_millis: 560.815, usercpu_time_millis_testing: 4.923, usercpu_time_millis_training: 555.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9903, kappa: 0.9626, kb_relative_information_score: 6239.634, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9903, predictive_accuracy: 0.9903, prior_entropy: 0.6204, recall: 0.9903, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.2233, scimark_benchmark: 1278.4525, usercpu_time_millis: 430.136, usercpu_time_millis_testing: 3.16, usercpu_time_millis_training: 426.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9995, kappa: 0.9983, kb_relative_information_score: 6547.7532, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.6204, recall: 0.9995, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0231, root_relative_squared_error: 0.064, scimark_benchmark: 1277.1331, usercpu_time_millis: 289.954, usercpu_time_millis_testing: 1.528, usercpu_time_millis_training: 288.426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1313.4765, usercpu_time_millis: 255.369, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 254.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9648, kappa: 0.8632, kb_relative_information_score: 5217.3475, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9647, predictive_accuracy: 0.9653, prior_entropy: 0.6204, recall: 0.9653, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.4567, scimark_benchmark: 1271.5549, usercpu_time_millis: 680.445, usercpu_time_millis_testing: 8.691, usercpu_time_millis_training: 671.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9704, kappa: 0.8848, kb_relative_information_score: 5522.8913, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9703, predictive_accuracy: 0.9707, prior_entropy: 0.6204, recall: 0.9707, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.405, scimark_benchmark: 1313.3055, usercpu_time_millis: 471.117, usercpu_time_millis_testing: 3.713, usercpu_time_millis_training: 467.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9585, kappa: 0.8369, kb_relative_information_score: 4894.588, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9587, predictive_accuracy: 0.9595, prior_entropy: 0.6204, recall: 0.9595, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4784, scimark_benchmark: 1308.4347, usercpu_time_millis: 441.589, usercpu_time_millis_testing: 2.931, usercpu_time_millis_training: 438.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1270.4622, usercpu_time_millis: 295.628, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 294.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.92, kappa: 0.6744, kb_relative_information_score: 3526.9771, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9227, predictive_accuracy: 0.9256, prior_entropy: 0.6204, recall: 0.9256, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.6788, scimark_benchmark: 1274.7549, usercpu_time_millis: 613.965, usercpu_time_millis_testing: 5.715, usercpu_time_millis_training: 608.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9899, kappa: 0.9613, kb_relative_information_score: 6234.0667, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9899, predictive_accuracy: 0.99, prior_entropy: 0.6204, recall: 0.99, relative_absolute_error: 0.0542, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.2229, scimark_benchmark: 1310.3295, usercpu_time_millis: 468.526, usercpu_time_millis_testing: 3.417, usercpu_time_millis_training: 465.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9749, kappa: 0.9026, kb_relative_information_score: 5675.9031, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.6204, recall: 0.9753, relative_absolute_error: 0.136, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.3762, scimark_benchmark: 1294.0526, usercpu_time_millis: 531.456, usercpu_time_millis_testing: 3.946, usercpu_time_millis_training: 527.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9658, kappa: 0.8667, kb_relative_information_score: 5268.3176, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9658, predictive_accuracy: 0.9664, prior_entropy: 0.6204, recall: 0.9664, relative_absolute_error: 0.1928, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4449, scimark_benchmark: 1309.1703, usercpu_time_millis: 512.9, usercpu_time_millis_testing: 4.071, usercpu_time_millis_training: 508.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1273.5387, usercpu_time_millis: 267.28, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 266.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9332, kappa: 0.7323, kb_relative_information_score: 4101.2913, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9344, predictive_accuracy: 0.9366, prior_entropy: 0.6204, recall: 0.9366, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.5919, scimark_benchmark: 1281.0797, usercpu_time_millis: 477.301, usercpu_time_millis_testing: 2.853, usercpu_time_millis_training: 474.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1248.8101, usercpu_time_millis: 278.644, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 277.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1267.8047, usercpu_time_millis: 281.961, usercpu_time_millis_testing: 0.893, usercpu_time_millis_training: 281.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9747, kappa: 0.9017, kb_relative_information_score: 5673.5279, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.6204, recall: 0.975, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.3702, scimark_benchmark: 1315.8005, usercpu_time_millis: 404.324, usercpu_time_millis_testing: 3.055, usercpu_time_millis_training: 401.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.9322, kappa: 0.7308, kb_relative_information_score: 3847.2288, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9322, predictive_accuracy: 0.9348, prior_entropy: 0.6204, recall: 0.9348, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.6248, scimark_benchmark: 1325.4021, usercpu_time_millis: 627.294, usercpu_time_millis_testing: 7.086, usercpu_time_millis_training: 620.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9997, kappa: 0.9988, kb_relative_information_score: 6581.6898, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9997, predictive_accuracy: 0.9997, prior_entropy: 0.6204, recall: 0.9997, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0151, root_relative_squared_error: 0.0419, scimark_benchmark: 1285.2561, usercpu_time_millis: 266.446, usercpu_time_millis_testing: 0.758, usercpu_time_millis_training: 265.688,

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