Task
Supervised Classification on climate-model-simulation-crashes

Supervised Classification on climate-model-simulation-crashes

Task 9980 Supervised Classification climate-model-simulation-crashes 99429 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.8815, kappa: 0.0881, kb_relative_information_score: -768.6637, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8728, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 1.3432, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2972, root_relative_squared_error: 1.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -200.8696, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.9344, scimark_benchmark: 1262.1102, usercpu_time_millis: 3.359, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 3.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -208.8604, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.9404, scimark_benchmark: 1293.8958, usercpu_time_millis: 28.072, usercpu_time_millis_testing: 1.202, usercpu_time_millis_training: 26.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.1275, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1266.0473, usercpu_time_millis: 1.616, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.15, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1290.2886, usercpu_time_millis: 1.986, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 1.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.8741, kb_relative_information_score: -190.5477, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.266, root_relative_squared_error: 0.953, scimark_benchmark: 1277.9236, usercpu_time_millis: 5.841, usercpu_time_millis_testing: 0.55, usercpu_time_millis_training: 5.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8741, kb_relative_information_score: -188.0051, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9658, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.95, scimark_benchmark: 1291.974, usercpu_time_millis: 6.843, usercpu_time_millis_testing: 0.678, usercpu_time_millis_training: 6.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.8741, kb_relative_information_score: -238.7467, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9051, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.9489, scimark_benchmark: 1283.4931, usercpu_time_millis: 16.778, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 15.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.8741, kb_relative_information_score: -191.6185, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.9333, scimark_benchmark: 1285.9197, usercpu_time_millis: 17.34, usercpu_time_millis_testing: 1.189, usercpu_time_millis_training: 16.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -220.851, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9308, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.9482, scimark_benchmark: 1288.3239, usercpu_time_millis: 2.629, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 2.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8935, kappa: 0.2274, kb_relative_information_score: -192.2345, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8861, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.8755, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.9644, scimark_benchmark: 1287.7248, usercpu_time_millis: 3.285, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 3.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -201.6939, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.9395, scimark_benchmark: 1262.1456, usercpu_time_millis: 34.552, usercpu_time_millis_testing: 1.596, usercpu_time_millis_training: 32.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.8741, kb_relative_information_score: -91.1517, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9802, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.9836, scimark_benchmark: 1292.2567, usercpu_time_millis: 6.871, usercpu_time_millis_testing: 0.949, usercpu_time_millis_training: 5.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.8741, kb_relative_information_score: -223.15, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9035, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9443, scimark_benchmark: 1293.2283, usercpu_time_millis: 13.005, usercpu_time_millis_testing: 0.746, usercpu_time_millis_training: 12.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8741, kb_relative_information_score: -203.225, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9518, scimark_benchmark: 1289.2958, usercpu_time_millis: 7.82, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 7.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8145, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -197.5703, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.938, scimark_benchmark: 1294.0214, usercpu_time_millis: 6.254, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 5.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.8741, kb_relative_information_score: -114.6051, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.9737, scimark_benchmark: 1288.8121, usercpu_time_millis: 10.072, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 8.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.8741, kb_relative_information_score: -182.9658, mean_absolute_error: 0.147, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9356, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.9487, scimark_benchmark: 1292.4932, usercpu_time_millis: 14.562, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 13.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -210.8279, mean_absolute_error: 0.1441, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.917, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.9354, scimark_benchmark: 1283.6285, usercpu_time_millis: 18.81, usercpu_time_millis_testing: 1.329, usercpu_time_millis_training: 17.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8741, kb_relative_information_score: -185.5035, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9563, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2633, root_relative_squared_error: 0.9433, scimark_benchmark: 1289.4209, usercpu_time_millis: 6.739, usercpu_time_millis_testing: 0.831, usercpu_time_millis_training: 5.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.791, f_measure: 0.8741, kb_relative_information_score: -157.9113, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9621, scimark_benchmark: 1289.6107, usercpu_time_millis: 3.506, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 3.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8818, kappa: 0.072, kb_relative_information_score: -196.0177, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8966, predictive_accuracy: 0.9167, prior_entropy: 0.4254, recall: 0.9167, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.9395, scimark_benchmark: 1298.6401, usercpu_time_millis: 8.199, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 7.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8054, f_measure: 0.8741, kb_relative_information_score: -197.8806, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9465, scimark_benchmark: 1294.8583, usercpu_time_millis: 1.335, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 1.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.7691, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1270.0326, usercpu_time_millis: 3.804, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 3.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4822, f_measure: 0.8741, kb_relative_information_score: -14.0059, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2793, root_relative_squared_error: 1.0004, scimark_benchmark: 1294.8703, usercpu_time_millis: 0.586, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.49,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8741, kb_relative_information_score: -198.3087, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.9497, scimark_benchmark: 1254.5348, usercpu_time_millis: 3.506, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 3.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.8741, kb_relative_information_score: -171.1209, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.9516, scimark_benchmark: 1275.8204, usercpu_time_millis: 6.424, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 5.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.2147, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1289.4941, usercpu_time_millis: 0.466, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.8741, kb_relative_information_score: -164.8156, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2685, root_relative_squared_error: 0.9618, scimark_benchmark: 1265.5081, usercpu_time_millis: 5.567, usercpu_time_millis_testing: 0.583, usercpu_time_millis_training: 4.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.8741, kb_relative_information_score: -169.0859, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.9475, scimark_benchmark: 1290.5408, usercpu_time_millis: 17.179, usercpu_time_millis_testing: 1.823, usercpu_time_millis_training: 15.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8741, kb_relative_information_score: -195.7131, mean_absolute_error: 0.1463, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.9452, scimark_benchmark: 1273.6223, usercpu_time_millis: 8.178, usercpu_time_millis_testing: 0.686, usercpu_time_millis_training: 7.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.8741, kb_relative_information_score: -164.4066, mean_absolute_error: 0.1508, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9595, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.266, root_relative_squared_error: 0.9529, scimark_benchmark: 1296.9039, usercpu_time_millis: 7.492, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 6.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -216.9954, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9217, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.9382, scimark_benchmark: 1270.8897, usercpu_time_millis: 30.341, usercpu_time_millis_testing: 1.902, usercpu_time_millis_training: 28.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8741, kb_relative_information_score: -177.2099, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9432, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.9446, scimark_benchmark: 1291.5893, usercpu_time_millis: 2.998, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.0894, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1259.313, usercpu_time_millis: 4.859, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 4.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.8741, kb_relative_information_score: -161.9149, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.963, scimark_benchmark: 1263.8549, usercpu_time_millis: 10.93, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 9.984,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -198.757, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9444, scimark_benchmark: 1268.3686, usercpu_time_millis: 7.278, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 6.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.8741, kb_relative_information_score: -188.509, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.95, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.9442, scimark_benchmark: 1274.2584, usercpu_time_millis: 7.068, usercpu_time_millis_testing: 0.755, usercpu_time_millis_training: 6.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.8741, kb_relative_information_score: -207.8004, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.97, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.9628, scimark_benchmark: 1256.5672, usercpu_time_millis: 0.677, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8741, kb_relative_information_score: -200.7944, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.938, scimark_benchmark: 1266.5994, usercpu_time_millis: 15.003, usercpu_time_millis_testing: 0.918, usercpu_time_millis_training: 14.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8052, f_measure: 0.8741, kb_relative_information_score: -194.1023, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9266, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.9467, scimark_benchmark: 1264.4889, usercpu_time_millis: 14.486, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 13.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -214.7371, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.938, scimark_benchmark: 1268.094, usercpu_time_millis: 15.177, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 14.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.8913, kappa: 0.1779, kb_relative_information_score: -192.1321, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8881, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.9526, scimark_benchmark: 1293.6341, usercpu_time_millis: 24.513, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 23.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.8741, kb_relative_information_score: -219.3203, mean_absolute_error: 0.1562, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.9613, scimark_benchmark: 1298.5002, usercpu_time_millis: 7.489, usercpu_time_millis_testing: 0.683, usercpu_time_millis_training: 6.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.8741, kb_relative_information_score: -155.79, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9618, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.9581, scimark_benchmark: 1294.9772, usercpu_time_millis: 5.035, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 4.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -188.1456, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.9409, scimark_benchmark: 1266.1377, usercpu_time_millis: 10.972, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 10.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.8776, kappa: 0.0348, kb_relative_information_score: -196.6148, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8809, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.9364, scimark_benchmark: 1288.6744, usercpu_time_millis: 25.161, usercpu_time_millis_testing: 1.237, usercpu_time_millis_training: 23.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.8741, kb_relative_information_score: -191.1897, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.9643, scimark_benchmark: 1289.9096, usercpu_time_millis: 14.312, usercpu_time_millis_testing: 1.326, usercpu_time_millis_training: 12.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.8741, kb_relative_information_score: -203.8421, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.9404, scimark_benchmark: 1264.5457, usercpu_time_millis: 8.469, usercpu_time_millis_testing: 0.555, usercpu_time_millis_training: 7.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -193.6911, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9166, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9357, scimark_benchmark: 1292.5203, usercpu_time_millis: 13.693, usercpu_time_millis_testing: 0.993, usercpu_time_millis_training: 12.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.8741, kb_relative_information_score: -196.75, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9601, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2682, root_relative_squared_error: 0.9606, scimark_benchmark: 1268.8686, usercpu_time_millis: 18.102, usercpu_time_millis_testing: 1.849, usercpu_time_millis_training: 16.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 1.0654, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1272.0145, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 3.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.8741, kb_relative_information_score: -198.0952, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.9623, scimark_benchmark: 1266.6314, usercpu_time_millis: 4.215, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 3.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 0.6358, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1288.1768, usercpu_time_millis: 4.754, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 4.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8741, kb_relative_information_score: -145.0312, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9692, scimark_benchmark: 1293.3984, usercpu_time_millis: 14.817, usercpu_time_millis_testing: 1.568, usercpu_time_millis_training: 13.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -185.2096, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.9448, scimark_benchmark: 1295.757, usercpu_time_millis: 4.175, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 3.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.8741, kb_relative_information_score: -154.9845, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9589, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.269, root_relative_squared_error: 0.9637, scimark_benchmark: 1253.5221, usercpu_time_millis: 3.855, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 3.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.8741, kb_relative_information_score: -185.0769, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.9627, scimark_benchmark: 1285.9961, usercpu_time_millis: 5.813, usercpu_time_millis_testing: 0.528, usercpu_time_millis_training: 5.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.8741, kb_relative_information_score: -202.6181, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.9414, scimark_benchmark: 1283.9614, usercpu_time_millis: 2.932, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 2.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8741, kb_relative_information_score: -211.7554, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9164, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9355, scimark_benchmark: 1252.5075, usercpu_time_millis: 14.782, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 14.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.8741, kb_relative_information_score: -242.7616, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.265, root_relative_squared_error: 0.9493, scimark_benchmark: 1294.3621, usercpu_time_millis: 16.905, usercpu_time_millis_testing: 0.921, usercpu_time_millis_training: 15.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.8741, kb_relative_information_score: -171.1592, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.9479, scimark_benchmark: 1284.1632, usercpu_time_millis: 3.877, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 3.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.7705, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001, scimark_benchmark: 1273.0344, usercpu_time_millis: 4.985, usercpu_time_millis_testing: 0.731, usercpu_time_millis_training: 4.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.8741, kb_relative_information_score: -218.1569, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.268, root_relative_squared_error: 0.96, scimark_benchmark: 1291.2532, usercpu_time_millis: 11.911, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 11.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4786, f_measure: 0.8741, kb_relative_information_score: -1.2854, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0002, scimark_benchmark: 1259.1305, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -191.6871, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.9356, scimark_benchmark: 1282.649, usercpu_time_millis: 18.048, usercpu_time_millis_testing: 1.22, usercpu_time_millis_training: 16.828,

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