OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 1803 Supervised Classification sonar 346 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 503.6148, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1325.6322, usercpu_time_millis: 1270, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 1348.2804, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 1349.9643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.7301, kappa: 0.4571, kb_relative_information_score: 324.6833, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7305, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.7198, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8901, scimark_benchmark: 1323.4116, usercpu_time_millis: 940, usercpu_time_millis_testing: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 1360.6367, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1347.1763, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 1397.3209, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8133, f_measure: 0.7372, kappa: 0.4716, kb_relative_information_score: 465.1699, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7372, predictive_accuracy: 0.7375, prior_entropy: 0.9968, recall: 0.7375, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9138, scimark_benchmark: 1318.2298, usercpu_time_millis: 300, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1393.8432, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 503.6148, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 940.3347, usercpu_time_millis: 1180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 1326.8946, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 1384.4422, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 1341.5795, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7436, kappa: 0.4844, kb_relative_information_score: 478.1285, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.744, predictive_accuracy: 0.7442, prior_entropy: 0.9968, recall: 0.7442, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9295, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7351, kappa: 0.4674, kb_relative_information_score: 323.3192, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7369, predictive_accuracy: 0.7365, prior_entropy: 0.9968, recall: 0.7365, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8403, scimark_benchmark: 918.0213, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7436, kappa: 0.4844, kb_relative_information_score: 478.1285, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.744, predictive_accuracy: 0.7442, prior_entropy: 0.9968, recall: 0.7442, relative_absolute_error: 0.5447, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9295, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.7409, kappa: 0.4789, kb_relative_information_score: 470.8261, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.741, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.5526, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.459, root_relative_squared_error: 0.92, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 1345.7204, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 915.9324, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 942.9708, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.7879, kappa: 0.5734, kb_relative_information_score: 579.8812, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7885, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.865, scimark_benchmark: 1327.2954, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 1357.483, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 1327.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7333, kappa: 0.4637, kb_relative_information_score: 407.1188, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7333, predictive_accuracy: 0.7337, prior_entropy: 0.9968, recall: 0.7337, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.8697, scimark_benchmark: 1342.4239, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7451, f_measure: 0.7241, kappa: 0.4459, kb_relative_information_score: 455.9097, mean_absolute_error: 0.2805, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7242, predictive_accuracy: 0.724, prior_entropy: 0.9968, recall: 0.724, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0048, scimark_benchmark: 1327.2954, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7481, kappa: 0.4936, kb_relative_information_score: 288.7674, mean_absolute_error: 0.3786, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7516, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8308, scimark_benchmark: 885.0921, usercpu_time_millis: 460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7219, kappa: 0.4406, kb_relative_information_score: 399.2645, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.723, predictive_accuracy: 0.7231, prior_entropy: 0.9968, recall: 0.7231, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9783, scimark_benchmark: 1168.3268, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7555, kappa: 0.5084, kb_relative_information_score: 510.7728, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7555, predictive_accuracy: 0.7558, prior_entropy: 0.9968, recall: 0.7558, relative_absolute_error: 0.5121, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9391, scimark_benchmark: 1322.4968, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.7294, kappa: 0.4558, kb_relative_information_score: 482.0195, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7294, predictive_accuracy: 0.7298, prior_entropy: 0.9968, recall: 0.7298, relative_absolute_error: 0.5353, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4855, root_relative_squared_error: 0.9731, scimark_benchmark: 1325.2932, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8513, kappa: 0.7009, kb_relative_information_score: 729.9514, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8534, predictive_accuracy: 0.8519, prior_entropy: 0.9968, recall: 0.8519, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7714, scimark_benchmark: 996.6105, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.7511, kappa: 0.4997, kb_relative_information_score: 326.062, mean_absolute_error: 0.359, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7543, predictive_accuracy: 0.7529, prior_entropy: 0.9968, recall: 0.7529, relative_absolute_error: 0.7213, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8244, scimark_benchmark: 1322.7383, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.4325, kappa: 0.0512, kb_relative_information_score: 107.9701, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6412, predictive_accuracy: 0.5548, prior_entropy: 0.9968, recall: 0.5548, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6672, root_relative_squared_error: 1.3375, scimark_benchmark: 1351.6526, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.6935, kappa: 0.3851, kb_relative_information_score: 339.0544, mean_absolute_error: 0.3425, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6942, predictive_accuracy: 0.6933, prior_entropy: 0.9968, recall: 0.6933, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9948, scimark_benchmark: 1341.994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.7681, kappa: 0.5339, kb_relative_information_score: 348.6076, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7681, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8065, scimark_benchmark: 1334.9657, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.7502, kappa: 0.4976, kb_relative_information_score: 477.6094, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7509, predictive_accuracy: 0.751, prior_entropy: 0.9968, recall: 0.751, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9238, scimark_benchmark: 1331.6907, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7131, kappa: 0.4231, kb_relative_information_score: 436.7656, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7131, predictive_accuracy: 0.7135, prior_entropy: 0.9968, recall: 0.7135, relative_absolute_error: 0.5797, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0587, scimark_benchmark: 938.343, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7473, kappa: 0.492, kb_relative_information_score: 288.7502, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7502, predictive_accuracy: 0.749, prior_entropy: 0.9968, recall: 0.749, relative_absolute_error: 0.76, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.835, scimark_benchmark: 932.0242, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7467, kappa: 0.4911, kb_relative_information_score: 288.8843, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7515, predictive_accuracy: 0.749, prior_entropy: 0.9968, recall: 0.749, relative_absolute_error: 0.7591, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.838, scimark_benchmark: 1331.6907, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 285.468, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.7594, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8484, scimark_benchmark: 860.584, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7698, kappa: 0.5371, kb_relative_information_score: 497.3248, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9968, recall: 0.7702, relative_absolute_error: 0.5329, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8551, scimark_benchmark: 937.1527, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, f_measure: 0.7351, kappa: 0.4674, kb_relative_information_score: 323.3192, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7369, predictive_accuracy: 0.7365, prior_entropy: 0.9968, recall: 0.7365, relative_absolute_error: 0.719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8403, scimark_benchmark: 929.0363, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6804, kappa: 0.3573, kb_relative_information_score: 350.1216, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6803, predictive_accuracy: 0.6808, prior_entropy: 0.9968, recall: 0.6808, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0537, scimark_benchmark: 1310.3951, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.7843, kappa: 0.5661, kb_relative_information_score: 587.228, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7845, predictive_accuracy: 0.7846, prior_entropy: 0.9968, recall: 0.7846, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.448, root_relative_squared_error: 0.8981, scimark_benchmark: 1325.2092, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.7814, kappa: 0.5604, kb_relative_information_score: 571.6177, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7816, predictive_accuracy: 0.7817, prior_entropy: 0.9968, recall: 0.7817, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8903, scimark_benchmark: 854.5188, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7583, kappa: 0.5139, kb_relative_information_score: 536.6366, mean_absolute_error: 0.2415, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7584, predictive_accuracy: 0.7587, prior_entropy: 0.9968, recall: 0.7587, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.441, root_relative_squared_error: 0.8841, scimark_benchmark: 1442.7264, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.7495, kappa: 0.4963, kb_relative_information_score: 491.3521, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7497, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5338, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8835, scimark_benchmark: 943.1756, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.7481, kappa: 0.494, kb_relative_information_score: 438.1545, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7481, predictive_accuracy: 0.7481, prior_entropy: 0.9968, recall: 0.7481, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8887, scimark_benchmark: 876.0664, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7391, kappa: 0.4758, kb_relative_information_score: 425.2789, mean_absolute_error: 0.3008, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7432, predictive_accuracy: 0.7413, prior_entropy: 0.9968, recall: 0.7413, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8128, scimark_benchmark: 1333.5799, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7991, kappa: 0.596, kb_relative_information_score: 555.8293, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8009, predictive_accuracy: 0.8, prior_entropy: 0.9968, recall: 0.8, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7584, scimark_benchmark: 854.5188, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.7198, kappa: 0.4365, kb_relative_information_score: 456.1991, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7211, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.5602, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5281, root_relative_squared_error: 1.0585, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.532, f_measure: 0.4348, kappa: 0.0679, kb_relative_information_score: 126.0861, mean_absolute_error: 0.4365, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7599, predictive_accuracy: 0.5635, prior_entropy: 0.9968, recall: 0.5635, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6607, root_relative_squared_error: 1.3244, scimark_benchmark: 938.343, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7611, kappa: 0.5197, kb_relative_information_score: 540.7403, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7613, predictive_accuracy: 0.7615, prior_entropy: 0.9968, recall: 0.7615, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9789, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7923, f_measure: 0.7218, kappa: 0.4406, kb_relative_information_score: 400.1118, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7218, predictive_accuracy: 0.7221, prior_entropy: 0.9968, recall: 0.7221, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.8944, scimark_benchmark: 1280.6952, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.7593, kappa: 0.516, kb_relative_information_score: 538.7274, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7613, predictive_accuracy: 0.7606, prior_entropy: 0.9968, recall: 0.7606, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9808, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8197, kappa: 0.6373, kb_relative_information_score: 572.0122, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8206, predictive_accuracy: 0.8202, prior_entropy: 0.9968, recall: 0.8202, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6994, scimark_benchmark: 1290.1085, usercpu_time_millis: 260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.7625, kappa: 0.5229, kb_relative_information_score: 503.6148, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7625, predictive_accuracy: 0.7625, prior_entropy: 0.9968, recall: 0.7625, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 1309.3173, usercpu_time_millis: 1180, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.8019, kappa: 0.6015, kb_relative_information_score: 383.4689, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8042, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6719, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.7568, scimark_benchmark: 1307.3269, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6749, f_measure: 0.6772, kappa: 0.3509, kb_relative_information_score: 365.6193, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6773, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5676, root_relative_squared_error: 1.1377, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7075, f_measure: 0.7092, kappa: 0.4154, kb_relative_information_score: 305.1815, mean_absolute_error: 0.3652, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7092, predictive_accuracy: 0.7096, prior_entropy: 0.9968, recall: 0.7096, relative_absolute_error: 0.7337, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4761, root_relative_squared_error: 0.9543, scimark_benchmark: 1319.6463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7328, f_measure: 0.7219, kappa: 0.4407, kb_relative_information_score: 371.7863, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.723, predictive_accuracy: 0.7231, prior_entropy: 0.9968, recall: 0.7231, relative_absolute_error: 0.6629, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4752, root_relative_squared_error: 0.9525, scimark_benchmark: 1321.6263, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5735, f_measure: 0.5698, kappa: 0.1455, kb_relative_information_score: 140.1763, mean_absolute_error: 0.4298, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.5765, predictive_accuracy: 0.5702, prior_entropy: 0.9968, recall: 0.5702, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6556, root_relative_squared_error: 1.3142, scimark_benchmark: 1280.6952, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,

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