OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1401.6639, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1542.8438, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1371.2175, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1274.6864, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1283.2535, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1340.2766, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1207.7834, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1502.2753, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1396.0988, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1336.8381, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1318.9944, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1332.187, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1290.8534, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1355.5106, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1249.8807, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1189.5358, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1277.6507, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1331.2759, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1356.4568, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1330.6499, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.6976, kappa: 0.3162, kb_relative_information_score: 167.1425, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7159, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8973, scimark_benchmark: 1259.3354, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1264.4382, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 1348.7363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.6988, kappa: 0.322, kb_relative_information_score: 226.4395, mean_absolute_error: 0.3452, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6977, predictive_accuracy: 0.7088, prior_entropy: 0.9312, recall: 0.7088, relative_absolute_error: 0.762, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8851, scimark_benchmark: 1384.5952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7609, kappa: 0.4593, kb_relative_information_score: 346.9597, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7729, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.6503, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7891, scimark_benchmark: 1411.4522, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.7164, kappa: 0.3671, kb_relative_information_score: 227.3796, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7144, predictive_accuracy: 0.7203, prior_entropy: 0.9312, recall: 0.7203, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8655, scimark_benchmark: 1351.5155, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8019, kappa: 0.561, kb_relative_information_score: 433.3129, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8013, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.5431, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7721, scimark_benchmark: 1412.2572, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8092, kappa: 0.5753, kb_relative_information_score: 428.3446, mean_absolute_error: 0.2498, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8086, predictive_accuracy: 0.8111, prior_entropy: 0.9312, recall: 0.8111, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7692, scimark_benchmark: 1316.7715, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.6976, kappa: 0.3162, kb_relative_information_score: 167.5542, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7159, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8974, scimark_benchmark: 1363.995, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, f_measure: 0.7175, kappa: 0.3612, kb_relative_information_score: 371.1409, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7249, predictive_accuracy: 0.7338, prior_entropy: 0.9312, recall: 0.7338, relative_absolute_error: 0.5876, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5159, root_relative_squared_error: 1.0842, scimark_benchmark: 1311.9665, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.7051, kappa: 0.3346, kb_relative_information_score: 373.4411, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7361, predictive_accuracy: 0.7349, prior_entropy: 0.9312, recall: 0.7349, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.082, scimark_benchmark: 1482.2811, usercpu_time_millis: 360, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7416, kappa: 0.4189, kb_relative_information_score: 286.8639, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7421, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8781, scimark_benchmark: 1392.9555, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.688, kappa: 0.2942, kb_relative_information_score: 186.4549, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6982, predictive_accuracy: 0.7109, prior_entropy: 0.9312, recall: 0.7109, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8907, scimark_benchmark: 1504.907, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8019, kappa: 0.561, kb_relative_information_score: 436.4907, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8013, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.773, scimark_benchmark: 1283.6013, usercpu_time_millis: 1200, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8069, kappa: 0.5683, kb_relative_information_score: 431.315, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8068, predictive_accuracy: 0.81, prior_entropy: 0.9312, recall: 0.81, relative_absolute_error: 0.5446, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7745, scimark_benchmark: 1504.8176, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.87, f_measure: 0.7882, kappa: 0.527, kb_relative_information_score: 430.5609, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7875, predictive_accuracy: 0.7912, prior_entropy: 0.9312, recall: 0.7912, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7786, scimark_benchmark: 1408.0651, usercpu_time_millis: 2880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.6976, kappa: 0.3162, kb_relative_information_score: 205.2321, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7159, predictive_accuracy: 0.7234, prior_entropy: 0.9312, recall: 0.7234, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4391, root_relative_squared_error: 0.9228, scimark_benchmark: 1533.9325, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8045, kappa: 0.5658, kb_relative_information_score: 441.2673, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8038, predictive_accuracy: 0.8058, prior_entropy: 0.9312, recall: 0.8058, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.7672, scimark_benchmark: 1515.8692, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 122.5591, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9407, scimark_benchmark: 1510.5207, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.8068, kappa: 0.5694, kb_relative_information_score: 418.2273, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8062, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.5626, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.7789, scimark_benchmark: 1452.7038, usercpu_time_millis: 570, usercpu_time_millis_testing: 570,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8113, kappa: 0.5784, kb_relative_information_score: 416.0748, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8112, predictive_accuracy: 0.8142, prior_entropy: 0.9312, recall: 0.8142, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7667, scimark_benchmark: 1517.0666, usercpu_time_millis: 3110, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 152.5143, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.852, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.911, scimark_benchmark: 1334.7293, usercpu_time_millis: 3880, usercpu_time_millis_testing: 3870, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6946, kappa: 0.3092, kb_relative_information_score: 167.2949, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7097, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8972, scimark_benchmark: 1553.6412, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.8071, kappa: 0.5706, kb_relative_information_score: 425.5393, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8064, predictive_accuracy: 0.809, prior_entropy: 0.9312, recall: 0.809, relative_absolute_error: 0.5541, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7752, scimark_benchmark: 1352.2326, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 903.3766, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.2886, scimark_benchmark: 1416.417, usercpu_time_millis: 765.625, usercpu_time_millis_training: 765.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.8019, kappa: 0.561, kb_relative_information_score: 440.6775, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8013, predictive_accuracy: 0.8027, prior_entropy: 0.9312, recall: 0.8027, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7708, scimark_benchmark: 1427.282, usercpu_time_millis: 940, usercpu_time_millis_testing: 930, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 1495.389, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 122.5591, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9407, scimark_benchmark: 1418.477, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 627.27, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4822, scimark_benchmark: 1492.2304, usercpu_time_millis: 980, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9233, kappa: 0.8282, kb_relative_information_score: 606.4506, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9272, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5415, scimark_benchmark: 1517.3081, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9811, kappa: 0.9582, kb_relative_information_score: 902.4994, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9814, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0599, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1206, root_relative_squared_error: 0.2533, scimark_benchmark: 1347.0741, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.6838, kappa: 0.2859, kb_relative_information_score: 179.206, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6842, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9037, scimark_benchmark: 1297.5277, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9241, kappa: 0.8309, kb_relative_information_score: 517.84, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9248, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.6102, scimark_benchmark: 1444.787, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9705, kappa: 0.9343, kb_relative_information_score: 522.4606, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9718, predictive_accuracy: 0.9708, prior_entropy: 0.9312, recall: 0.9708, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.577, scimark_benchmark: 1217.9538, usercpu_time_millis: 1590, usercpu_time_millis_testing: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 140.1757, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8649, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4387, root_relative_squared_error: 0.9219, scimark_benchmark: 1274.2442, usercpu_time_millis: 580, usercpu_time_millis_testing: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9645, kappa: 0.9217, kb_relative_information_score: 871.9698, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 0.9312, recall: 0.9645, relative_absolute_error: 0.0897, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.3763, scimark_benchmark: 1304.9662, usercpu_time_millis: 2760, usercpu_time_millis_testing: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.8576, kappa: 0.6871, kb_relative_information_score: 629.2717, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8586, predictive_accuracy: 0.857, prior_entropy: 0.9312, recall: 0.857, relative_absolute_error: 0.3304, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7879, scimark_benchmark: 1281.7713, usercpu_time_millis: 1500, usercpu_time_millis_testing: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9572, kappa: 0.9053, kb_relative_information_score: 732.4455, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9571, predictive_accuracy: 0.9572, prior_entropy: 0.9312, recall: 0.9572, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2052, root_relative_squared_error: 0.4312, scimark_benchmark: 1288.3831, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1302.9218, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.7781, kappa: 0.4998, kb_relative_information_score: 239.6861, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8353, predictive_accuracy: 0.8017, prior_entropy: 0.9312, recall: 0.8017, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.8212, scimark_benchmark: 1239.5022, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6678, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 123.2434, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9393, scimark_benchmark: 1317.3987, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9465, kappa: 0.8815, kb_relative_information_score: 824.131, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9466, predictive_accuracy: 0.9468, prior_entropy: 0.9312, recall: 0.9468, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4532, scimark_benchmark: 1229.4377, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, scimark_benchmark: 1261.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 1272.1479, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7082, kappa: 0.3423, kb_relative_information_score: 260.8454, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7085, predictive_accuracy: 0.7192, prior_entropy: 0.9312, recall: 0.7192, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3986, root_relative_squared_error: 0.8376, scimark_benchmark: 1418.7333, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 1276.5484, usercpu_time_millis: 1870, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8635, kappa: 0.6942, kb_relative_information_score: 570.0037, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.866, predictive_accuracy: 0.8664, prior_entropy: 0.9312, recall: 0.8664, relative_absolute_error: 0.421, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6586, scimark_benchmark: 1304.1536, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7765, kappa: 0.5118, kb_relative_information_score: 469.3797, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9519, scimark_benchmark: 1364.4217, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8487, f_measure: 0.7932, kappa: 0.5378, kb_relative_information_score: 440.5752, mean_absolute_error: 0.2435, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7928, predictive_accuracy: 0.7965, prior_entropy: 0.9312, recall: 0.7965, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7975, scimark_benchmark: 1346.6249, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 1300.1853, usercpu_time_millis: 500, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1377.4309, usercpu_time_millis: 125, usercpu_time_millis_testing: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.7286, kappa: 0.3861, kb_relative_information_score: 247.3843, mean_absolute_error: 0.3403, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7477, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4136, root_relative_squared_error: 0.8692, scimark_benchmark: 1330.4438, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.7997, kappa: 0.5557, kb_relative_information_score: 436.5227, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.799, predictive_accuracy: 0.8006, prior_entropy: 0.9312, recall: 0.8006, relative_absolute_error: 0.5382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.7756, scimark_benchmark: 1415.7664, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7592, kappa: 0.4552, kb_relative_information_score: 347.7549, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7748, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.8348, scimark_benchmark: 1377.238, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.7034, kappa: 0.3291, kb_relative_information_score: 196.7131, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7103, predictive_accuracy: 0.7213, prior_entropy: 0.9312, recall: 0.7213, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8859, scimark_benchmark: 1378.0021, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs