OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54817 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1301.7542, usercpu_time_millis: 6.036, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 5.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1279.9807, usercpu_time_millis: 4.61, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 4.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1255.8554, usercpu_time_millis: 4.579, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 4.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1268.6652, usercpu_time_millis: 4.931, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 4.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1270.1376, usercpu_time_millis: 4.738, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 4.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1276.229, usercpu_time_millis: 5.606, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 5.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.7056, kappa: 0.4123, kb_relative_information_score: 610.879, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7077, predictive_accuracy: 0.7062, prior_entropy: 1, recall: 0.7062, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9038, scimark_benchmark: 1270.9973, usercpu_time_millis: 6.601, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 6.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1293.3359, usercpu_time_millis: 4.302, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 3.802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1285.4927, usercpu_time_millis: 4.408, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 3.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1275.0525, usercpu_time_millis: 5.541, usercpu_time_millis_testing: 0.627, usercpu_time_millis_training: 4.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1278.8219, usercpu_time_millis: 5.338, usercpu_time_millis_testing: 0.514, usercpu_time_millis_training: 4.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1277.3807, usercpu_time_millis: 5.15, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 4.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1284.8221, usercpu_time_millis: 5.752, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 5.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1277.9971, usercpu_time_millis: 5.785, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 5.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1297.4773, usercpu_time_millis: 5.8, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 5.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1292.7332, usercpu_time_millis: 5.653, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 5.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1298.4309, usercpu_time_millis: 5.927, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 5.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1300.6644, usercpu_time_millis: 5.314, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1303.3048, usercpu_time_millis: 5.158, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 4.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1306.9871, usercpu_time_millis: 8.062, usercpu_time_millis_testing: 0.759, usercpu_time_millis_training: 7.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1307.4296, usercpu_time_millis: 6.074, usercpu_time_millis_testing: 0.547, usercpu_time_millis_training: 5.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1285.7661, usercpu_time_millis: 6.107, usercpu_time_millis_testing: 0.584, usercpu_time_millis_training: 5.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1280.4072, usercpu_time_millis: 5.187, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 4.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1307.2546, usercpu_time_millis: 6.589, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 6.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1279.5549, usercpu_time_millis: 5.477, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 4.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1286.886, usercpu_time_millis: 5.205, usercpu_time_millis_testing: 0.51, usercpu_time_millis_training: 4.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1299.4029, usercpu_time_millis: 5.961, usercpu_time_millis_testing: 0.504, usercpu_time_millis_training: 5.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.5229, usercpu_time_millis: 6.492, usercpu_time_millis_testing: 0.693, usercpu_time_millis_training: 5.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.6157, kappa: 0.2315, kb_relative_information_score: 201.7052, mean_absolute_error: 0.4696, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6158, predictive_accuracy: 0.6158, prior_entropy: 1, recall: 0.6158, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.9708, scimark_benchmark: 1302.9017, usercpu_time_millis: 6.8, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 6.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1278.2381, usercpu_time_millis: 5.008, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1272.5356, usercpu_time_millis: 4.997, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 4.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1273.3415, usercpu_time_millis: 4.876, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 4.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1290.9677, usercpu_time_millis: 5.638, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 5.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1282.2155, usercpu_time_millis: 5.423, usercpu_time_millis_testing: 0.491, usercpu_time_millis_training: 4.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1285.4868, usercpu_time_millis: 4.746, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 4.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1279.2322, usercpu_time_millis: 5.178, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1276.003, usercpu_time_millis: 4.921, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 4.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1281.4926, usercpu_time_millis: 4.57, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 4.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6388, kappa: 0.3023, kb_relative_information_score: 348.8603, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6751, predictive_accuracy: 0.6512, prior_entropy: 1, recall: 0.6512, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9454, scimark_benchmark: 1284.8176, usercpu_time_millis: 5.411, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 4.882,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1293.8012, usercpu_time_millis: 5.411, usercpu_time_millis_testing: 0.529, usercpu_time_millis_training: 4.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1289.2251, usercpu_time_millis: 5.801, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 5.263,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1302.2454, usercpu_time_millis: 5.949, usercpu_time_millis_testing: 0.713, usercpu_time_millis_training: 5.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1286.9451, usercpu_time_millis: 5.984, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 5.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1273.0599, usercpu_time_millis: 6.065, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 5.368,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1302.6426, usercpu_time_millis: 5.726, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 5.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1305.1406, usercpu_time_millis: 5.618, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 5.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1298.3534, usercpu_time_millis: 4.771, usercpu_time_millis_testing: 0.5, usercpu_time_millis_training: 4.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6388, kappa: 0.3023, kb_relative_information_score: 348.8603, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6751, predictive_accuracy: 0.6512, prior_entropy: 1, recall: 0.6512, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.9454, scimark_benchmark: 1308.9323, usercpu_time_millis: 6.139, usercpu_time_millis_testing: 0.542, usercpu_time_millis_training: 5.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5985, f_measure: 0.5771, kappa: 0.1685, kb_relative_information_score: 138.5292, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5903, predictive_accuracy: 0.5842, prior_entropy: 1, recall: 0.5842, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9826, scimark_benchmark: 1306.1699, usercpu_time_millis: 5.36, usercpu_time_millis_testing: 0.524, usercpu_time_millis_training: 4.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1278.7729, usercpu_time_millis: 4.986, usercpu_time_millis_testing: 0.507, usercpu_time_millis_training: 4.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1271.5446, usercpu_time_millis: 5.733, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 5.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6064, f_measure: 0.6161, kappa: 0.2331, kb_relative_information_score: 189.0298, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6171, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9437, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4864, root_relative_squared_error: 0.9728, scimark_benchmark: 1276.3165, usercpu_time_millis: 6.619, usercpu_time_millis_testing: 0.602, usercpu_time_millis_training: 6.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1285.4718, usercpu_time_millis: 6.008, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 5.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1283.8068, usercpu_time_millis: 5.284, usercpu_time_millis_testing: 0.565, usercpu_time_millis_training: 4.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1271.8766, usercpu_time_millis: 5.864, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 5.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1278.8185, usercpu_time_millis: 5.661, usercpu_time_millis_testing: 0.536, usercpu_time_millis_training: 5.125,

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