OpenML
Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 3492 Supervised Classification monks-problems-1 116029 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 168.4275, mean_absolute_error: 0.3624, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7248, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8273, scimark_benchmark: 1373.0003, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 156.7681, mean_absolute_error: 0.3771, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8168, scimark_benchmark: 1360.0934, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 459.4582, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.2902, scimark_benchmark: 1365.8086, usercpu_time_millis: 0.886, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.8742, kappa: 0.7518, kb_relative_information_score: 161.7535, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8976, predictive_accuracy: 0.8759, prior_entropy: 1, recall: 0.8759, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.7856, scimark_benchmark: 1368.9125, usercpu_time_millis: 0.344, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7282, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 108.6597, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.8708, scimark_benchmark: 1358.436, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.8871, kappa: 0.777, kb_relative_information_score: 272.86, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9088, predictive_accuracy: 0.8885, prior_entropy: 1, recall: 0.8885, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6466, scimark_benchmark: 1371.6956, usercpu_time_millis: 1.81, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 198.4343, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7772, scimark_benchmark: 1358.8165, usercpu_time_millis: 2.243, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 397.4135, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3377, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.213, root_relative_squared_error: 0.426, scimark_benchmark: 1368.9114, usercpu_time_millis: 2.384, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 2.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.982, kappa: 0.964, kb_relative_information_score: 348.8856, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 1, recall: 0.982, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5123, scimark_benchmark: 1373.1829, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.151, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0159, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1363.7395, usercpu_time_millis: 0.859, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 39.3876, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4755, root_relative_squared_error: 0.9509, scimark_benchmark: 1372.767, usercpu_time_millis: 0.521, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 179.3262, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.7593, scimark_benchmark: 1369.6187, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9387, kappa: 0.8777, kb_relative_information_score: 331.7496, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.944, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.4499, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5619, scimark_benchmark: 1366.4394, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 390.8399, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4329, scimark_benchmark: 1368.8334, usercpu_time_millis: 2.565, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 2.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0105, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1355.2992, usercpu_time_millis: 0.994, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9368, kappa: 0.8741, kb_relative_information_score: 321.881, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9441, predictive_accuracy: 0.9371, prior_entropy: 1, recall: 0.9371, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5793, scimark_benchmark: 1361.8781, usercpu_time_millis: 1.524, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7291, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 138.5458, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.422, root_relative_squared_error: 0.844, scimark_benchmark: 1378.3898, usercpu_time_millis: 1.279, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7398, kappa: 0.5108, kb_relative_information_score: 99.1022, mean_absolute_error: 0.4293, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8357, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.8587, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8744, scimark_benchmark: 1356.1504, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9549, kappa: 0.9101, kb_relative_information_score: 313.1319, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9587, predictive_accuracy: 0.955, prior_entropy: 1, recall: 0.955, relative_absolute_error: 0.4918, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.288, root_relative_squared_error: 0.576, scimark_benchmark: 1374.5251, usercpu_time_millis: 0.745, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0121, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1373.8067, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 0.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.7484, kappa: 0.5252, kb_relative_information_score: 95.926, mean_absolute_error: 0.4318, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.839, predictive_accuracy: 0.7626, prior_entropy: 1, recall: 0.7626, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8785, scimark_benchmark: 1374.1788, usercpu_time_millis: 0.308, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5, kb_relative_information_score: -0.0088, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1337.2762, usercpu_time_millis: 0.433, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.788, kappa: 0.5935, kb_relative_information_score: 235.4529, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8555, predictive_accuracy: 0.7968, prior_entropy: 1, recall: 0.7968, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3533, root_relative_squared_error: 0.7067, scimark_benchmark: 1365.5446, usercpu_time_millis: 2.173, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 205.7363, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7787, scimark_benchmark: 1372.9416, usercpu_time_millis: 1.003, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 107.1928, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4349, root_relative_squared_error: 0.8698, scimark_benchmark: 1375.5238, usercpu_time_millis: 0.682, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 381.6323, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.4633, scimark_benchmark: 1372.9632, usercpu_time_millis: 2.703, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 178.297, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.7112, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8014, scimark_benchmark: 1355.9691, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 492.5987, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.2082, scimark_benchmark: 1369.1966, usercpu_time_millis: 1.143, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4912, kappa: -0.0072, kb_relative_information_score: -0.0149, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4963, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1369.3803, usercpu_time_millis: 0.275, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 317.5585, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9771, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2803, root_relative_squared_error: 0.5606, scimark_benchmark: 1373.4828, usercpu_time_millis: 2.937, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 2.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.4949, kb_relative_information_score: -0.0042, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1369.2569, usercpu_time_millis: 0.535, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.8964, kappa: 0.795, kb_relative_information_score: 272.6921, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9149, predictive_accuracy: 0.8975, prior_entropy: 1, recall: 0.8975, relative_absolute_error: 0.5581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6463, scimark_benchmark: 1367.6213, usercpu_time_millis: 0.717, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9001, kappa: 0.8022, kb_relative_information_score: 290.0046, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9174, predictive_accuracy: 0.9011, prior_entropy: 1, recall: 0.9011, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6284, scimark_benchmark: 1358.8362, usercpu_time_millis: 2.097, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8501, kappa: 0.705, kb_relative_information_score: 290.0835, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8764, predictive_accuracy: 0.8525, prior_entropy: 1, recall: 0.8525, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6343, scimark_benchmark: 1375.3594, usercpu_time_millis: 1.221, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.8964, kappa: 0.795, kb_relative_information_score: 176.0122, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9149, predictive_accuracy: 0.8975, prior_entropy: 1, recall: 0.8975, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.382, root_relative_squared_error: 0.7641, scimark_benchmark: 1371.9628, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.973, kappa: 0.946, kb_relative_information_score: 388.654, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9735, predictive_accuracy: 0.973, prior_entropy: 1, recall: 0.973, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2328, root_relative_squared_error: 0.4657, scimark_benchmark: 1377.8943, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 54.3031, mean_absolute_error: 0.4631, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.9262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4661, root_relative_squared_error: 0.9321, scimark_benchmark: 1761.825, usercpu_time_millis: 0.997, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9586, kappa: 0.9173, kb_relative_information_score: 326.7111, mean_absolute_error: 0.2331, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9618, predictive_accuracy: 0.9586, prior_entropy: 1, recall: 0.9586, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5561, scimark_benchmark: 1785.9775, usercpu_time_millis: 2.731, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 2.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9079, kappa: 0.8165, kb_relative_information_score: 341.3617, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9141, predictive_accuracy: 0.9083, prior_entropy: 1, recall: 0.9083, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2832, root_relative_squared_error: 0.5664, scimark_benchmark: 1756.6554, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0095, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1850.9927, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4964, kappa: -0.0072, kb_relative_information_score: -0.0145, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4964, predictive_accuracy: 0.4964, prior_entropy: 1, recall: 0.4964, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1752.9026, usercpu_time_millis: 0.739, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4774, kappa: -0.0036, kb_relative_information_score: -0.0111, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4979, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1753.7072, usercpu_time_millis: 1.241, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 396.376, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.3415, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.4219, scimark_benchmark: 1785.0742, usercpu_time_millis: 2.974, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 2.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 495.6413, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.2261, scimark_benchmark: 1842.6452, usercpu_time_millis: 3.367, usercpu_time_millis_testing: 0.373, usercpu_time_millis_training: 2.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9057, kappa: 0.813, kb_relative_information_score: 174.6237, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9212, predictive_accuracy: 0.9065, prior_entropy: 1, recall: 0.9065, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662, scimark_benchmark: 1812.2932, usercpu_time_millis: 3.272, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 2.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.3424, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1358, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.1925, scimark_benchmark: 1838.1932, usercpu_time_millis: 3.766, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 3.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9112, kappa: 0.8237, kb_relative_information_score: 180.5107, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9251, predictive_accuracy: 0.9119, prior_entropy: 1, recall: 0.9119, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7572, scimark_benchmark: 1749.5497, usercpu_time_millis: 1.561, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9766, kappa: 0.9532, kb_relative_information_score: 354.6296, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9777, predictive_accuracy: 0.9766, prior_entropy: 1, recall: 0.9766, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.517, scimark_benchmark: 1855.5174, usercpu_time_millis: 1.292, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 456.445, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3005, scimark_benchmark: 1855.0929, usercpu_time_millis: 0.818, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9295, kappa: 0.8597, kb_relative_information_score: 314.7624, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9385, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5845, scimark_benchmark: 1756.6293, usercpu_time_millis: 1.788, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.4932, kappa: -0.0036, kb_relative_information_score: -0.0049, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.4981, predictive_accuracy: 0.4982, prior_entropy: 1, recall: 0.4982, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1812.9736, usercpu_time_millis: 0.416, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.7333, kappa: 0.5, kb_relative_information_score: 91.8846, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8333, predictive_accuracy: 0.75, prior_entropy: 1, recall: 0.75, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8838, scimark_benchmark: 1854.1857, usercpu_time_millis: 1.006, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7295, kappa: 0.4928, kb_relative_information_score: 73.4701, mean_absolute_error: 0.4488, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8285, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9082, scimark_benchmark: 1816.6322, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.4949, kb_relative_information_score: -0.02, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1813.8389, usercpu_time_millis: 0.106, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 507.7816, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 1, predictive_accuracy: 1, prior_entropy: 1, recall: 1, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.0825, root_relative_squared_error: 0.1651, scimark_benchmark: 1816.9146, usercpu_time_millis: 1.825, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 419.4395, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3784, scimark_benchmark: 1761.5279, usercpu_time_millis: 0.353, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9982, kappa: 0.9964, kb_relative_information_score: 427.3237, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1, recall: 0.9982, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.389, scimark_benchmark: 1741.2467, usercpu_time_millis: 3.373, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 2.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.7819, kappa: 0.5827, kb_relative_information_score: 130.3809, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8528, predictive_accuracy: 0.7914, prior_entropy: 1, recall: 0.7914, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4156, root_relative_squared_error: 0.8311, scimark_benchmark: 1758.1822, usercpu_time_millis: 1.253, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9874, kappa: 0.9748, kb_relative_information_score: 401.6702, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 1, recall: 0.9874, relative_absolute_error: 0.3178, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4456, scimark_benchmark: 1759.5255, usercpu_time_millis: 0.878, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9928, kb_relative_information_score: 401.0598, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1, recall: 0.9964, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.4204, scimark_benchmark: 1843.7718, usercpu_time_millis: 2.057, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 1.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 76.2815, mean_absolute_error: 0.4462, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.8924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9063, scimark_benchmark: 1556.558, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.991, kappa: 0.982, kb_relative_information_score: 382.3969, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9912, predictive_accuracy: 0.991, prior_entropy: 1, recall: 0.991, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4619, scimark_benchmark: 1849.9748, usercpu_time_millis: 2.64, usercpu_time_millis_testing: 0.336, usercpu_time_millis_training: 2.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4969, kappa: 0.0036, kb_relative_information_score: 0.0022, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5019, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1754.2578, usercpu_time_millis: 1.47, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.826, kappa: 0.6619, kb_relative_information_score: 148.1801, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8737, predictive_accuracy: 0.8309, prior_entropy: 1, recall: 0.8309, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8054, scimark_benchmark: 1852.5952, usercpu_time_millis: 1.155, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4949, kb_relative_information_score: -0.003, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1754.6551, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 0.807,

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