OpenML
Supervised Classification on cars

Supervised Classification on cars

Task 3830 Supervised Classification cars 500 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7027, kappa: 0.3731, kb_relative_information_score: 114.6112, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8195, predictive_accuracy: 0.7463, prior_entropy: 0.9544, recall: 0.7463, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8331, scimark_benchmark: 1340.9749, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.676, kb_relative_information_score: 255.0251, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8507, predictive_accuracy: 0.8448, prior_entropy: 0.9544, recall: 0.8448, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6537, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8279, kappa: 0.6467, kb_relative_information_score: 250.1861, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8491, predictive_accuracy: 0.8251, prior_entropy: 0.9544, recall: 0.8251, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7924, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7027, kappa: 0.3731, kb_relative_information_score: 114.6112, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8195, predictive_accuracy: 0.7463, prior_entropy: 0.9544, recall: 0.7463, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8331, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.676, kb_relative_information_score: 255.0251, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8507, predictive_accuracy: 0.8448, prior_entropy: 0.9544, recall: 0.8448, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6537, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8675, kappa: 0.7183, kb_relative_information_score: 253.8248, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8684, predictive_accuracy: 0.867, prior_entropy: 0.9544, recall: 0.867, relative_absolute_error: 0.3931, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6024, scimark_benchmark: 1274.7011, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7228, kappa: 0.3995, kb_relative_information_score: 175.538, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.7446, predictive_accuracy: 0.7414, prior_entropy: 0.9544, recall: 0.7414, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0508, scimark_benchmark: 1331.2559, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7794, kappa: 0.5226, kb_relative_information_score: 217.8811, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8161, predictive_accuracy: 0.7956, prior_entropy: 0.9544, recall: 0.7956, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7325, scimark_benchmark: 1317.7919, usercpu_time_millis: 770, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8891, kappa: 0.7631, kb_relative_information_score: 289.4742, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.889, predictive_accuracy: 0.8892, prior_entropy: 0.9544, recall: 0.8892, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.609, scimark_benchmark: 1339.2472, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.676, kb_relative_information_score: 255.0251, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8507, predictive_accuracy: 0.8448, prior_entropy: 0.9544, recall: 0.8448, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6537, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.892, kappa: 0.7705, kb_relative_information_score: 282.4163, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8928, predictive_accuracy: 0.8916, prior_entropy: 0.9544, recall: 0.8916, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5834, scimark_benchmark: 1342.8584, usercpu_time_millis: 620, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8279, kappa: 0.6467, kb_relative_information_score: 250.1861, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8491, predictive_accuracy: 0.8251, prior_entropy: 0.9544, recall: 0.8251, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7924, scimark_benchmark: 1323.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8279, kappa: 0.6467, kb_relative_information_score: 250.1861, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8491, predictive_accuracy: 0.8251, prior_entropy: 0.9544, recall: 0.8251, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7924, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8279, kappa: 0.6467, kb_relative_information_score: 250.1861, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8491, predictive_accuracy: 0.8251, prior_entropy: 0.9544, recall: 0.8251, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7924, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8279, kappa: 0.6467, kb_relative_information_score: 250.1861, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8491, predictive_accuracy: 0.8251, prior_entropy: 0.9544, recall: 0.8251, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7924, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1332.7986, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7027, kappa: 0.3731, kb_relative_information_score: 114.6112, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8195, predictive_accuracy: 0.7463, prior_entropy: 0.9544, recall: 0.7463, relative_absolute_error: 0.7322, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8331, scimark_benchmark: 1339.4412, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.7794, kappa: 0.5226, kb_relative_information_score: 217.8811, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8161, predictive_accuracy: 0.7956, prior_entropy: 0.9544, recall: 0.7956, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7325, scimark_benchmark: 1339.4412, usercpu_time_millis: 580, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8891, kappa: 0.7631, kb_relative_information_score: 289.4742, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.889, predictive_accuracy: 0.8892, prior_entropy: 0.9544, recall: 0.8892, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.609, scimark_benchmark: 1309.2287, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8967, kappa: 0.7797, kb_relative_information_score: 196.5633, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8969, predictive_accuracy: 0.8966, prior_entropy: 0.9544, recall: 0.8966, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.654, scimark_benchmark: 1313.5633, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.892, kappa: 0.7705, kb_relative_information_score: 282.4163, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8928, predictive_accuracy: 0.8916, prior_entropy: 0.9544, recall: 0.8916, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5834, scimark_benchmark: 1344.0499, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7228, kappa: 0.3995, kb_relative_information_score: 175.538, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.7446, predictive_accuracy: 0.7414, prior_entropy: 0.9544, recall: 0.7414, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0508, scimark_benchmark: 1332.1612, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8891, kappa: 0.7631, kb_relative_information_score: 289.4742, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.889, predictive_accuracy: 0.8892, prior_entropy: 0.9544, recall: 0.8892, relative_absolute_error: 0.2923, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2947, root_relative_squared_error: 0.609, scimark_benchmark: 1317.8359, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.8967, kappa: 0.7797, kb_relative_information_score: 196.5633, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8969, predictive_accuracy: 0.8966, prior_entropy: 0.9544, recall: 0.8966, relative_absolute_error: 0.5609, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.654, scimark_benchmark: 1344.7524, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.676, kb_relative_information_score: 255.0251, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8507, predictive_accuracy: 0.8448, prior_entropy: 0.9544, recall: 0.8448, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6537, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7228, kappa: 0.3995, kb_relative_information_score: 175.538, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.7446, predictive_accuracy: 0.7414, prior_entropy: 0.9544, recall: 0.7414, relative_absolute_error: 0.5519, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0508, scimark_benchmark: 1321.4771, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.888, kappa: 0.765, kb_relative_information_score: 294.7844, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8945, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.5233, scimark_benchmark: 1336.2908,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.892, kappa: 0.7705, kb_relative_information_score: 282.4163, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8928, predictive_accuracy: 0.8916, prior_entropy: 0.9544, recall: 0.8916, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5834, scimark_benchmark: 1308.3432, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8846, kappa: 0.7545, kb_relative_information_score: 306.2406, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8852, predictive_accuracy: 0.8842, prior_entropy: 0.9544, recall: 0.8842, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.5944, scimark_benchmark: 1413.089, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8586, kappa: 0.7029, kb_relative_information_score: 273.8754, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8643, predictive_accuracy: 0.8571, prior_entropy: 0.9544, recall: 0.8571, relative_absolute_error: 0.3209, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6526, scimark_benchmark: 896.937, usercpu_time_millis: 1390, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.8944, kappa: 0.7754, kb_relative_information_score: 291.9296, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.895, predictive_accuracy: 0.8941, prior_entropy: 0.9544, recall: 0.8941, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6337, scimark_benchmark: 1340.4336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9049, kappa: 0.7948, kb_relative_information_score: 196.0328, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9083, predictive_accuracy: 0.9064, prior_entropy: 0.9544, recall: 0.9064, relative_absolute_error: 0.5628, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.6597, scimark_benchmark: 1301.2156, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.9021, kappa: 0.7924, kb_relative_information_score: 294.387, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9038, predictive_accuracy: 0.9015, prior_entropy: 0.9544, recall: 0.9015, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5697, scimark_benchmark: 1329.8902, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8181, kappa: 0.625, kb_relative_information_score: 241.7314, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8359, predictive_accuracy: 0.8153, prior_entropy: 0.9544, recall: 0.8153, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8798, scimark_benchmark: 1347.0114, usercpu_time_millis: 740, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.8181, kappa: 0.625, kb_relative_information_score: 241.7314, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8359, predictive_accuracy: 0.8153, prior_entropy: 0.9544, recall: 0.8153, relative_absolute_error: 0.3935, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8798, scimark_benchmark: 889.3151, usercpu_time_millis: 1320, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.8463, kappa: 0.676, kb_relative_information_score: 255.0251, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8507, predictive_accuracy: 0.8448, prior_entropy: 0.9544, recall: 0.8448, relative_absolute_error: 0.3709, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6537, scimark_benchmark: 1334.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.7987, kappa: 0.5961, kb_relative_information_score: 224.1641, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8378, predictive_accuracy: 0.7956, prior_entropy: 0.9544, recall: 0.7956, relative_absolute_error: 0.4343, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.902, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8853, kappa: 0.7583, kb_relative_information_score: 302.7342, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8895, predictive_accuracy: 0.8842, prior_entropy: 0.9544, recall: 0.8842, relative_absolute_error: 0.247, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.703, scimark_benchmark: 1330.7934, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.8687, kappa: 0.7262, kb_relative_information_score: 215.3327, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8787, predictive_accuracy: 0.867, prior_entropy: 0.9544, recall: 0.867, relative_absolute_error: 0.5052, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6574, scimark_benchmark: 1315.4655, usercpu_time_millis: 2770, usercpu_time_millis_training: 2770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.7278, kappa: 0.4219, kb_relative_information_score: 195.3245, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8284, predictive_accuracy: 0.7635, prior_entropy: 0.9544, recall: 0.7635, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4861, root_relative_squared_error: 1.0044, scimark_benchmark: 943.1756, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8328, kappa: 0.6584, kb_relative_information_score: 209.636, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8576, predictive_accuracy: 0.83, prior_entropy: 0.9544, recall: 0.83, relative_absolute_error: 0.4992, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7378, scimark_benchmark: 1300.7817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8646, kappa: 0.7112, kb_relative_information_score: 253.5957, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8647, predictive_accuracy: 0.8645, prior_entropy: 0.9544, recall: 0.8645, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.6335, scimark_benchmark: 1344.7246, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.7027, kappa: 0.3731, kb_relative_information_score: 179.9241, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8195, predictive_accuracy: 0.7463, prior_entropy: 0.9544, recall: 0.7463, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.5037, root_relative_squared_error: 1.0407, scimark_benchmark: 1321.1875, usercpu_time_millis: 690, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.892, kappa: 0.7705, kb_relative_information_score: 282.4163, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8928, predictive_accuracy: 0.8916, prior_entropy: 0.9544, recall: 0.8916, relative_absolute_error: 0.3193, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5834, scimark_benchmark: 1339.4189, usercpu_time_millis: 600, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9099, kappa: 0.8112, kb_relative_information_score: 291.6493, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9169, predictive_accuracy: 0.9089, prior_entropy: 0.9544, recall: 0.9089, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5953, scimark_benchmark: 1334.3805, usercpu_time_millis: 1440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9175, kappa: 0.822, kb_relative_information_score: 202.0745, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9207, predictive_accuracy: 0.9187, prior_entropy: 0.9544, recall: 0.9187, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.646, scimark_benchmark: 1316.7863, usercpu_time_millis: 250, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8515, kappa: 0.678, kb_relative_information_score: 182.913, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8656, predictive_accuracy: 0.8571, prior_entropy: 0.9544, recall: 0.8571, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6892, scimark_benchmark: 1329.4192, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.8993, kappa: 0.7858, kb_relative_information_score: 309.8493, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8999, predictive_accuracy: 0.899, prior_entropy: 0.9544, recall: 0.899, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.5934, scimark_benchmark: 1366.5423, usercpu_time_millis: 80, usercpu_time_millis_training: 80,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs