OpenML
Supervised Classification on autos

Supervised Classification on autos

Task 3838 Supervised Classification autos 509 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8085, kappa: 0.5761, kb_relative_information_score: 96.4444, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8176, predictive_accuracy: 0.8049, prior_entropy: 0.9134, recall: 0.8049, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.836, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 44.6609, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 1316.3384, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8078, kappa: 0.5592, kb_relative_information_score: 90.1903, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8068, predictive_accuracy: 0.8098, prior_entropy: 0.9134, recall: 0.8098, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7639, scimark_benchmark: 1337.8124, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8085, kappa: 0.5761, kb_relative_information_score: 96.4444, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8176, predictive_accuracy: 0.8049, prior_entropy: 0.9134, recall: 0.8049, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.836, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8564, kappa: 0.6696, kb_relative_information_score: 122.9887, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8565, predictive_accuracy: 0.8585, prior_entropy: 0.9134, recall: 0.8585, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6606, scimark_benchmark: 1324.8408, usercpu_time_millis: 360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8762, kappa: 0.7152, kb_relative_information_score: 134.299, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8767, predictive_accuracy: 0.878, prior_entropy: 0.9134, recall: 0.878, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6721, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 44.6609, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 1331.2559, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8085, kappa: 0.5761, kb_relative_information_score: 96.4444, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8176, predictive_accuracy: 0.8049, prior_entropy: 0.9134, recall: 0.8049, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.836, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8078, kappa: 0.5592, kb_relative_information_score: 90.1903, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8068, predictive_accuracy: 0.8098, prior_entropy: 0.9134, recall: 0.8098, relative_absolute_error: 0.5613, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7639, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8564, kappa: 0.6696, kb_relative_information_score: 122.9887, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8565, predictive_accuracy: 0.8585, prior_entropy: 0.9134, recall: 0.8585, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.6606, scimark_benchmark: 1317.2327, usercpu_time_millis: 380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1343.3311, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.921, kappa: 0.8184, kb_relative_information_score: 131.1995, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.9218, predictive_accuracy: 0.922, prior_entropy: 0.9134, recall: 0.922, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.551, scimark_benchmark: 1316.5396, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8258, kappa: 0.5981, kb_relative_information_score: 98.9372, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.826, predictive_accuracy: 0.8293, prior_entropy: 0.9134, recall: 0.8293, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7659, scimark_benchmark: 1345.6844, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 44.6609, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 1334.863, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.921, kappa: 0.8184, kb_relative_information_score: 131.1995, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.9218, predictive_accuracy: 0.922, prior_entropy: 0.9134, recall: 0.922, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.551, scimark_benchmark: 1367.3264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8258, kappa: 0.5981, kb_relative_information_score: 98.9372, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.826, predictive_accuracy: 0.8293, prior_entropy: 0.9134, recall: 0.8293, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7659, scimark_benchmark: 1267.7714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8085, kappa: 0.5761, kb_relative_information_score: 96.4444, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8176, predictive_accuracy: 0.8049, prior_entropy: 0.9134, recall: 0.8049, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.836, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1352.9931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.8732, kappa: 0.7118, kb_relative_information_score: 126.3338, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8732, predictive_accuracy: 0.8732, prior_entropy: 0.9134, recall: 0.8732, relative_absolute_error: 0.384, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6647, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.921, kappa: 0.8184, kb_relative_information_score: 131.1995, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.9218, predictive_accuracy: 0.922, prior_entropy: 0.9134, recall: 0.922, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.551, scimark_benchmark: 1280.9535, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8762, kappa: 0.7152, kb_relative_information_score: 134.299, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8767, predictive_accuracy: 0.878, prior_entropy: 0.9134, recall: 0.878, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6721, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7913, kappa: 0.5137, kb_relative_information_score: 78.2263, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7956, predictive_accuracy: 0.8, prior_entropy: 0.9134, recall: 0.8, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7873, scimark_benchmark: 1318.3027, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8511, kappa: 0.6569, kb_relative_information_score: 127.1446, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8515, predictive_accuracy: 0.8537, prior_entropy: 0.9134, recall: 0.8537, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.7748, scimark_benchmark: 1341.3551, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 44.6609, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 1333.3065, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5417, kb_relative_information_score: 44.6609, mean_absolute_error: 0.3268, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.4532, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.5717, root_relative_squared_error: 1.2188, scimark_benchmark: 1354.3488, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7913, kappa: 0.5137, kb_relative_information_score: 78.2263, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7956, predictive_accuracy: 0.8, prior_entropy: 0.9134, recall: 0.8, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7873, scimark_benchmark: 1338.9438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8762, kappa: 0.7152, kb_relative_information_score: 134.299, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8767, predictive_accuracy: 0.878, prior_entropy: 0.9134, recall: 0.878, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6721, scimark_benchmark: 1316.5986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.869, kappa: 0.7041, kb_relative_information_score: 131.0322, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8701, predictive_accuracy: 0.8683, prior_entropy: 0.9134, recall: 0.8683, relative_absolute_error: 0.3527, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3538, root_relative_squared_error: 0.7543, scimark_benchmark: 896.937, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8902, kappa: 0.7464, kb_relative_information_score: 152.0912, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8928, predictive_accuracy: 0.8927, prior_entropy: 0.9134, recall: 0.8927, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6984, scimark_benchmark: 923.6051, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7847, f_measure: 0.8285, kappa: 0.6017, kb_relative_information_score: 123.4431, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.832, predictive_accuracy: 0.8341, prior_entropy: 0.9134, recall: 0.8341, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.4073, root_relative_squared_error: 0.8682, scimark_benchmark: 1313.6093, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6713, kappa: 0.2819, kb_relative_information_score: 25.1891, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.688, predictive_accuracy: 0.6634, prior_entropy: 0.9134, recall: 0.6634, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.988, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8131, kappa: 0.5722, kb_relative_information_score: 101.5403, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8123, predictive_accuracy: 0.8146, prior_entropy: 0.9134, recall: 0.8146, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.8576, scimark_benchmark: 1340.4336, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8825, kappa: 0.7319, kb_relative_information_score: 127.9015, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8822, predictive_accuracy: 0.8829, prior_entropy: 0.9134, recall: 0.8829, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6692, scimark_benchmark: 1318.8785, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8239, kappa: 0.5916, kb_relative_information_score: 94.8226, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8264, predictive_accuracy: 0.8293, prior_entropy: 0.9134, recall: 0.8293, relative_absolute_error: 0.5393, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7361, scimark_benchmark: 1311.1837, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7933, kappa: 0.5392, kb_relative_information_score: 100.2478, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7995, predictive_accuracy: 0.7902, prior_entropy: 0.9134, recall: 0.7902, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9445, scimark_benchmark: 1352.2865, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7933, kappa: 0.5392, kb_relative_information_score: 100.2478, mean_absolute_error: 0.2151, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7995, predictive_accuracy: 0.7902, prior_entropy: 0.9134, recall: 0.7902, relative_absolute_error: 0.4881, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9445, scimark_benchmark: 889.3151, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8762, kappa: 0.7152, kb_relative_information_score: 134.299, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8767, predictive_accuracy: 0.878, prior_entropy: 0.9134, recall: 0.878, relative_absolute_error: 0.3483, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6721, scimark_benchmark: 937.5996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8768, kappa: 0.7174, kb_relative_information_score: 144.9292, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8767, predictive_accuracy: 0.878, prior_entropy: 0.9134, recall: 0.878, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.7445, scimark_benchmark: 1301.9176, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7938, kappa: 0.5216, kb_relative_information_score: 64.9272, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7949, predictive_accuracy: 0.8, prior_entropy: 0.9134, recall: 0.8, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7904, scimark_benchmark: 1315.4655, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.8262, kappa: 0.6099, kb_relative_information_score: 118.9384, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8295, predictive_accuracy: 0.8244, prior_entropy: 0.9134, recall: 0.8244, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8877, scimark_benchmark: 943.1756, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5821, kappa: 0.0233, kb_relative_information_score: 11.2381, mean_absolute_error: 0.3951, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.5709, predictive_accuracy: 0.6049, prior_entropy: 0.9134, recall: 0.6049, relative_absolute_error: 0.8968, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.6286, root_relative_squared_error: 1.3401, scimark_benchmark: 854.5188, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.7675, kappa: 0.4759, kb_relative_information_score: 51.877, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7698, predictive_accuracy: 0.7659, prior_entropy: 0.9134, recall: 0.7659, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8405, scimark_benchmark: 1344.7246, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7913, kappa: 0.5137, kb_relative_information_score: 78.2263, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7956, predictive_accuracy: 0.8, prior_entropy: 0.9134, recall: 0.8, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.7873, scimark_benchmark: 915.6729, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.6831, kappa: 0.354, kb_relative_information_score: 32.3045, mean_absolute_error: 0.3598, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.7414, predictive_accuracy: 0.6732, prior_entropy: 0.9134, recall: 0.6732, relative_absolute_error: 0.8165, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.9271, scimark_benchmark: 1332.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.9021, kappa: 0.7766, kb_relative_information_score: 146.11, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.9019, predictive_accuracy: 0.9024, prior_entropy: 0.9134, recall: 0.9024, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.6196, scimark_benchmark: 1331.0755, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8258, kappa: 0.5981, kb_relative_information_score: 98.9372, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.826, predictive_accuracy: 0.8293, prior_entropy: 0.9134, recall: 0.8293, relative_absolute_error: 0.5227, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7659, scimark_benchmark: 1339.4189, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8735, kappa: 0.7059, kb_relative_information_score: 98.076, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8806, predictive_accuracy: 0.878, prior_entropy: 0.9134, recall: 0.878, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6691, scimark_benchmark: 942.6843, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8884, kappa: 0.7479, kb_relative_information_score: 148.9368, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4406, number_of_instances: 205, precision: 0.8894, predictive_accuracy: 0.8878, prior_entropy: 0.9134, recall: 0.8878, relative_absolute_error: 0.2633, root_mean_prior_squared_error: 0.4691, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6573, scimark_benchmark: 906.4475, usercpu_time_millis: 90, usercpu_time_millis_training: 90,

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