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Function: require_once

OpenML
Task
Supervised Classification on ar1

Supervised Classification on ar1

Task 3909 Supervised Classification ar1 558 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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558 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -23.3848, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.9552, scimark_benchmark: 1363.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.9008, kappa: 0.2798, kb_relative_information_score: 3.3726, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9008, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3149, root_relative_squared_error: 1.1998, scimark_benchmark: 930.5999, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1333.5799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: -663.6089, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 3.4822, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.5, root_relative_squared_error: 1.9049, scimark_benchmark: 939.449, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5749, f_measure: 0.7591, kappa: 0.0616, kb_relative_information_score: -235.8822, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8786, predictive_accuracy: 0.686, prior_entropy: 0.4067, recall: 0.686, relative_absolute_error: 2.1872, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.5604, root_relative_squared_error: 2.135, scimark_benchmark: 938.9967, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -17.0599, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2642, root_relative_squared_error: 1.0065, scimark_benchmark: 1346.9602, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.9492, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0188, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.0475, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.0158, scimark_benchmark: 1250.8301, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.0475, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.0158, scimark_benchmark: 934.0566, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.4748, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9745, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0171, scimark_benchmark: 944.529, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: -28.1261, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2738, root_relative_squared_error: 1.0432, scimark_benchmark: 893.0505, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -42.2749, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.974, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.8688, kappa: -0.0561, kb_relative_information_score: -15.0316, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8538, predictive_accuracy: 0.8843, prior_entropy: 0.4067, recall: 0.8843, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3402, root_relative_squared_error: 1.2959, scimark_benchmark: 1313.5726, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 1369.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: 2.0786, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2627, root_relative_squared_error: 1.0007, scimark_benchmark: 1310.8451, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: 21.7768, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0952, scimark_benchmark: 1294.7826, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 1313.5005, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, f_measure: 0.9126, kappa: 0.3315, kb_relative_information_score: 17.0753, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9088, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2776, root_relative_squared_error: 1.0578, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 21.7768, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0952, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.8857, kappa: -0.0151, kb_relative_information_score: 21.7768, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8562, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.5756, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2875, root_relative_squared_error: 1.0952, scimark_benchmark: 1464.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011, scimark_benchmark: 1445.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9174, kappa: 0.3998, kb_relative_information_score: 8.2086, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0235, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.9063, kappa: 0.2456, kb_relative_information_score: 1.2983, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8995, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.6515, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2862, root_relative_squared_error: 1.0903, scimark_benchmark: 931.2336, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6101, f_measure: 0.8825, kappa: 0.0785, kb_relative_information_score: -18.6491, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8736, predictive_accuracy: 0.8926, prior_entropy: 0.4067, recall: 0.8926, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3139, root_relative_squared_error: 1.1959, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.8678, kappa: 0.0397, kb_relative_information_score: -74.1094, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8678, predictive_accuracy: 0.8678, prior_entropy: 0.4067, recall: 0.8678, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3182, root_relative_squared_error: 1.2124, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.8727, kappa: 0.0512, kb_relative_information_score: -64.7337, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8694, predictive_accuracy: 0.876, prior_entropy: 0.4067, recall: 0.876, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3026, root_relative_squared_error: 1.1529, scimark_benchmark: 942.3168, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.8727, kappa: 0.0512, kb_relative_information_score: -64.7337, mean_absolute_error: 0.1379, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8694, predictive_accuracy: 0.876, prior_entropy: 0.4067, recall: 0.876, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3026, root_relative_squared_error: 1.1529, scimark_benchmark: 934.5243, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5838, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 30.7559, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2728, root_relative_squared_error: 1.0392, scimark_benchmark: 936.7115, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 30.3863, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2728, root_relative_squared_error: 1.0395, scimark_benchmark: 876.8277, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 29.8749, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5241, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0255, scimark_benchmark: 936.6206, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6786, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 29.447, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5257, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0173, scimark_benchmark: 934.5243, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6245, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 26.3939, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2726, root_relative_squared_error: 1.0387, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.8951, kappa: 0.1978, kb_relative_information_score: -6.8155, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.89, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3064, root_relative_squared_error: 1.1674, scimark_benchmark: 941.7954, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 6.7291, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2821, root_relative_squared_error: 1.0748, scimark_benchmark: 943.2817, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 10.8469, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.6132, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0257, scimark_benchmark: 911.0478, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 2.4929, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.6723, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.9853, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.9063, kappa: 0.2456, kb_relative_information_score: -30.3556, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8995, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.8355, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2677, root_relative_squared_error: 1.0198, scimark_benchmark: 931.2336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.false).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -21.5514, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.7867, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.9956, scimark_benchmark: 943.6956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: -23.7432, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2648, root_relative_squared_error: 1.0087, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4425, f_measure: 0.8899, kb_relative_information_score: -4.5488, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0011, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.8645, kappa: -0.0633, kb_relative_information_score: -40.0966, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8532, predictive_accuracy: 0.876, prior_entropy: 0.4067, recall: 0.876, relative_absolute_error: 0.9376, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.278, root_relative_squared_error: 1.0593, scimark_benchmark: 932.3943, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 933.8635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.9174, kappa: 0.3998, kb_relative_information_score: 8.2086, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9174, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7864, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2686, root_relative_squared_error: 1.0235, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8185, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -44.2493, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9743, scimark_benchmark: 935.8834, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.8899, kb_relative_information_score: -46.0543, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2663, root_relative_squared_error: 1.0145, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.925, kappa: 0.3965, kb_relative_information_score: 33.4845, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9224, predictive_accuracy: 0.9339, prior_entropy: 0.4067, recall: 0.9339, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.247, root_relative_squared_error: 0.9411, scimark_benchmark: 939.2687, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.925, kappa: 0.3965, kb_relative_information_score: 33.4845, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9224, predictive_accuracy: 0.9339, prior_entropy: 0.4067, recall: 0.9339, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.247, root_relative_squared_error: 0.9411, scimark_benchmark: 940.2751, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7937, f_measure: 0.8951, kappa: 0.1978, kb_relative_information_score: 6.7533, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.89, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1267, scimark_benchmark: 935.8834, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.381, f_measure: 0.5412, kappa: -0.0601, kb_relative_information_score: -530.3496, mean_absolute_error: 0.5785, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8261, predictive_accuracy: 0.4215, prior_entropy: 0.4067, recall: 0.4215, relative_absolute_error: 4.029, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.7606, root_relative_squared_error: 2.8977, scimark_benchmark: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 27.7193, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.525, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2701, root_relative_squared_error: 1.0289, scimark_benchmark: 943.2817, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4256, f_measure: 0.8899, kb_relative_information_score: -8.0475, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2666, root_relative_squared_error: 1.0158, scimark_benchmark: 915.2795, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 947.0793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8899, kb_relative_information_score: 30.9789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8568, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.039, scimark_benchmark: 940.3346, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, build_cpu_time: 0.0742, build_memory: 415574905.5207, f_measure: 0.8951, kappa: 0.1978, kb_relative_information_score: -11.2263, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.89, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2729, root_relative_squared_error: 1.0396, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, build_cpu_time: 0.0694, build_memory: 1432320253.3554, f_measure: 0.8951, kappa: 0.1978, kb_relative_information_score: -11.2263, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.89, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2729, root_relative_squared_error: 1.0396, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, build_cpu_time: 0.0705, build_memory: 612061625.1901, f_measure: 0.8951, kappa: 0.1978, kb_relative_information_score: -11.2417, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.89, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.7505, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2729, root_relative_squared_error: 1.0396, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, build_cpu_time: 0.0471, build_memory: 788171798.9421, f_measure: 0.9066, kappa: 0.3042, kb_relative_information_score: -10.325, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9044, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.277, root_relative_squared_error: 1.0554, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, build_cpu_time: 0.0092, build_memory: 936576237.686, f_measure: 0.9121, kappa: 0.2745, kb_relative_information_score: -5.2761, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9074, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.6814, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.9962, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, build_cpu_time: 0.0133, build_memory: 814095716.562, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -4.9605, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2675, root_relative_squared_error: 1.0192, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, build_cpu_time: 0.0161, build_memory: 300874218.7769, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -4.9605, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2675, root_relative_squared_error: 1.0192, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, build_cpu_time: 0.017, build_memory: 1165100654.3471, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -4.9605, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2675, root_relative_squared_error: 1.0192, scimark_benchmark: 926.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5952, build_cpu_time: 0.0142, build_memory: 57131664.2645, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: -4.9605, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.6798, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2675, root_relative_squared_error: 1.0192, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6101, build_cpu_time: 0.0763, build_memory: 819571527.9339, f_measure: 0.8773, kappa: -0.0386, kb_relative_information_score: -1.405, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.855, predictive_accuracy: 0.9008, prior_entropy: 0.4067, recall: 0.9008, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.1746, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, build_cpu_time: 0.0514, build_memory: 200995247.5372, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: 2.0682, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3032, root_relative_squared_error: 1.1551, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, build_cpu_time: 0.0299, build_memory: 1704335447.0744, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: 4.9182, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3009, root_relative_squared_error: 1.1462, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, build_cpu_time: 0.0147, build_memory: 3026655157.0909, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: 7.2043, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3002, root_relative_squared_error: 1.1436, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, build_cpu_time: 0.0079, build_memory: 300285046.6116, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: 8.5894, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2969, root_relative_squared_error: 1.1312, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, build_cpu_time: 0.2038, build_memory: 535980008.1983, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 6.547, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.285, root_relative_squared_error: 1.0857, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, build_cpu_time: 0.263, build_memory: 725361779.7025, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 10.797, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2816, root_relative_squared_error: 1.073, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, build_cpu_time: 0.443, build_memory: 1054265919.8678, f_measure: 0.8978, kappa: 0.1345, kb_relative_information_score: 12.5662, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8877, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2809, root_relative_squared_error: 1.0701, scimark_benchmark: 945.5885,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, build_cpu_time: 0.0252, build_memory: 1156571068.8265, f_measure: 0.8727, kappa: 0.0512, kb_relative_information_score: -71.8705, mean_absolute_error: 0.1421, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.8694, predictive_accuracy: 0.876, prior_entropy: 0.4067, recall: 0.876, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3068, root_relative_squared_error: 1.1689, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, build_cpu_time: 1.4083, build_memory: 1283954039.8017, f_measure: 0.9126, kappa: 0.3315, kb_relative_information_score: -9.9958, mean_absolute_error: 0.1014, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9088, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2795, root_relative_squared_error: 1.0649, scimark_benchmark: 943.5504,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, build_cpu_time: 2.2902, build_memory: 121501973.9504, f_measure: 0.9126, kappa: 0.3315, kb_relative_information_score: 14.1266, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9088, predictive_accuracy: 0.9174, prior_entropy: 0.4067, recall: 0.9174, relative_absolute_error: 0.594, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2795, root_relative_squared_error: 1.0648, scimark_benchmark: 938.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, build_cpu_time: 1.2472, build_memory: 781075468.9587, f_measure: 0.9066, kappa: 0.3042, kb_relative_information_score: 7.645, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9044, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2851, root_relative_squared_error: 1.0861, scimark_benchmark: 923.3659,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, build_cpu_time: 0.3292, build_memory: 275725218.3802, f_measure: 0.9121, kappa: 0.2745, kb_relative_information_score: 28.4694, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9074, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9922, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, build_cpu_time: 0.3547, build_memory: 573348621.2893, f_measure: 0.9121, kappa: 0.2745, kb_relative_information_score: 28.4694, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9074, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9922, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, build_cpu_time: 0.6302, build_memory: 107435447.6033, f_measure: 0.9121, kappa: 0.2745, kb_relative_information_score: 28.4684, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9074, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2606, root_relative_squared_error: 0.9929, scimark_benchmark: 920.2874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, build_cpu_time: 0.0385, build_memory: 891407332.8264, f_measure: 0.9031, kappa: 0.1591, kb_relative_information_score: 14.5133, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1436, number_of_instances: 121, precision: 0.9006, predictive_accuracy: 0.9256, prior_entropy: 0.4067, recall: 0.9256, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.267, root_relative_squared_error: 1.0173, scimark_benchmark: 945.0554,

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