OpenML
Supervised Classification on car

Supervised Classification on car

Task 21 Supervised Classification car 12568 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_70 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1378.7399, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1365.2532, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1365.5917, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1891.252, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1367.3394, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1325.8066, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1378.2308, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1350.6172, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1896.8809, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1366.5235, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1720.3856, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1372.4686, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1404.2617, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1386.8699, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1388.4163, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1383.4053, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1320.6204, usercpu_time_millis: 310, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1306.0917, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1359.2239, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1363.411, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1351.1452, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1358.7231, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1363.6672, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9385, kappa: 0.8664, kb_relative_information_score: -5.2506, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9393, predictive_accuracy: 0.9381, prior_entropy: 1.2099, recall: 0.9381, relative_absolute_error: 1.1173, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9467, scimark_benchmark: 1343.6576, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9149, kappa: 0.8292, kb_relative_information_score: 1309.1172, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9743, kappa: 0.9436, kb_relative_information_score: 1612.5783, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.975, predictive_accuracy: 0.974, prior_entropy: 1.2099, recall: 0.974, relative_absolute_error: 0.0694, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.3199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5768, kb_relative_information_score: -434.0606, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.4903, predictive_accuracy: 0.7002, prior_entropy: 1.2099, recall: 0.7002, relative_absolute_error: 1.2428, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.363, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.973, kappa: 0.9409, kb_relative_information_score: 1618.2193, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9733, predictive_accuracy: 0.9728, prior_entropy: 1.2099, recall: 0.9728, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8279, kappa: 0.6773, kb_relative_information_score: -196.6661, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8124, predictive_accuracy: 0.8542, prior_entropy: 1.2099, recall: 0.8542, relative_absolute_error: 1.1754, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3411, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8388, kappa: 0.6541, kb_relative_information_score: 995.9336, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.844, predictive_accuracy: 0.8501, prior_entropy: 1.2099, recall: 0.8501, relative_absolute_error: 0.5006, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.6738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.781, kappa: 0.5317, kb_relative_information_score: 1082.4462, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7724, predictive_accuracy: 0.8096, prior_entropy: 1.2099, recall: 0.8096, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.888, kappa: 0.7568, kb_relative_information_score: 1352.7718, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8883, predictive_accuracy: 0.8883, prior_entropy: 1.2099, recall: 0.8883, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9648, kappa: 0.9234, kb_relative_information_score: 18.9349, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9665, predictive_accuracy: 0.9641, prior_entropy: 1.2099, recall: 0.9641, relative_absolute_error: 1.1055, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9396, kappa: 0.8696, kb_relative_information_score: 1488.2643, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9424, predictive_accuracy: 0.9387, prior_entropy: 1.2099, recall: 0.9387, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9466, kappa: 0.8857, kb_relative_information_score: 1261.8255, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9478, predictive_accuracy: 0.9473, prior_entropy: 1.2099, recall: 0.9473, relative_absolute_error: 0.3623, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.4914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9447, kappa: 0.8817, kb_relative_information_score: 1177.7005, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9462, predictive_accuracy: 0.9462, prior_entropy: 1.2099, recall: 0.9462, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8926, kappa: 0.7694, kb_relative_information_score: 1358.5345, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8937, predictive_accuracy: 0.8935, prior_entropy: 1.2099, recall: 0.8935, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.5452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8639, kappa: 0.7184, kb_relative_information_score: 1216.0332, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8647, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8639, kappa: 0.7184, kb_relative_information_score: 1216.0332, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8647, predictive_accuracy: 0.8692, prior_entropy: 1.2099, recall: 0.8692, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.6075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8138, kappa: 0.61, kb_relative_information_score: 1016.1209, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8134, predictive_accuracy: 0.8218, prior_entropy: 1.2099, recall: 0.8218, relative_absolute_error: 0.4618, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2363, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8035, kappa: 0.5958, kb_relative_information_score: 893.1058, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7977, predictive_accuracy: 0.8148, prior_entropy: 1.2099, recall: 0.8148, relative_absolute_error: 0.5285, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.7385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8039, kappa: 0.5968, kb_relative_information_score: 892.5975, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.798, predictive_accuracy: 0.8154, prior_entropy: 1.2099, recall: 0.8154, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8039, kappa: 0.5968, kb_relative_information_score: 892.5975, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.798, predictive_accuracy: 0.8154, prior_entropy: 1.2099, recall: 0.8154, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.7908, kappa: 0.5983, kb_relative_information_score: 822.6889, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.7953, predictive_accuracy: 0.809, prior_entropy: 1.2099, recall: 0.809, relative_absolute_error: 0.5558, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2531, root_relative_squared_error: 0.7485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7638, kappa: 0.5558, kb_relative_information_score: 734.2267, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8023, predictive_accuracy: 0.7743, prior_entropy: 1.2099, recall: 0.7743, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.9149, kappa: 0.8292, kb_relative_information_score: 1309.1172, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.9305, predictive_accuracy: 0.9207, prior_entropy: 1.2099, recall: 0.9207, relative_absolute_error: 0.1731, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7638, kappa: 0.5558, kb_relative_information_score: 734.2267, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8023, predictive_accuracy: 0.7743, prior_entropy: 1.2099, recall: 0.7743, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.7638, kappa: 0.5558, kb_relative_information_score: 734.2267, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8023, predictive_accuracy: 0.7743, prior_entropy: 1.2099, recall: 0.7743, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.7728,

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