Task
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: 0.939, build_cpu_time: 0.0872, build_memory: 531430171.468, f_measure: 0.8883, kappa: 0.7685, kb_relative_information_score: 243.1176, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9024, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6214, scimark_benchmark: 935.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, build_cpu_time: 0.0953, build_memory: 87291489.2217, f_measure: 0.8883, kappa: 0.7685, kb_relative_information_score: 243.1176, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9024, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6214, scimark_benchmark: 942.1562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, build_cpu_time: 0.0856, build_memory: 247541352.9064, f_measure: 0.8883, kappa: 0.7685, kb_relative_information_score: 243.1176, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9024, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6214, scimark_benchmark: 893.1318,
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: 1314.7093, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 932.5646, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
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: 1320.9387,
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: 0.9665, 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: 0.9472, 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: 0.9295, 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: 0.9709, 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: 0.927, 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: 1341.5795, usercpu_time_millis: 590, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 340,
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: 1348.2476, 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: 1354.3488, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
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: 1322.7257,
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: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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: 0.7936, 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: 0.9709, 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: 0.9709, 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: 0.9295, 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: 0.9281, 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: 1342.2845,
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: 0.9709, 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: 0.9709, 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: 0.951, 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: 0.9472, 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: 0.9709, 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: 1303.5632,
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: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1340.5125, 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: 1336.0954,
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: 1278.9821, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1339.2472,
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: 1332.9478,
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: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 932.438, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, 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: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 851.2074, usercpu_time_millis: 560, usercpu_time_millis_training: 560,
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: 904.6764, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, 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: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 1870.7932, usercpu_time_millis: 93.6006, usercpu_time_millis_training: 93.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8971, kappa: 0.7815, kb_relative_information_score: 286.8301, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8983, predictive_accuracy: 0.8966, prior_entropy: 0.9544, recall: 0.8966, relative_absolute_error: 0.3015, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.926, f_measure: 0.8654, kappa: 0.715, kb_relative_information_score: 254.126, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8676, predictive_accuracy: 0.8645, prior_entropy: 0.9544, recall: 0.8645, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6593, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9117, kappa: 0.8122, kb_relative_information_score: 301.6914, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9124, predictive_accuracy: 0.9113, prior_entropy: 0.9544, recall: 0.9113, relative_absolute_error: 0.2683, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5557, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8542, kappa: 0.6877, kb_relative_information_score: 232.1612, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8539, predictive_accuracy: 0.8547, prior_entropy: 0.9544, recall: 0.8547, relative_absolute_error: 0.4387, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6688, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8808, kappa: 0.7512, kb_relative_information_score: 297.0732, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8902, predictive_accuracy: 0.8793, prior_entropy: 0.9544, recall: 0.8793, relative_absolute_error: 0.2615, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.341, root_relative_squared_error: 0.7047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.8879, kappa: 0.7644, kb_relative_information_score: 295.7258, mean_absolute_error: 0.1259, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8934, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.2686, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8672, kappa: 0.7168, kb_relative_information_score: 255.1424, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8674, predictive_accuracy: 0.867, prior_entropy: 0.9544, recall: 0.867, relative_absolute_error: 0.3792, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6504, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8396, kappa: 0.6654, kb_relative_information_score: 219.5808, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8496, predictive_accuracy: 0.8374, prior_entropy: 0.9544, recall: 0.8374, relative_absolute_error: 0.475, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7027, kappa: 0.3731, kb_relative_information_score: 140.9287, mean_absolute_error: 0.3044, 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: 0.6496, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.8104, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.851, kappa: 0.6855, kb_relative_information_score: 239.3296, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8546, predictive_accuracy: 0.8498, prior_entropy: 0.9544, recall: 0.8498, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7015, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.6279, kappa: 0.2353, kb_relative_information_score: 22.0163, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.797, predictive_accuracy: 0.6995, prior_entropy: 0.9544, recall: 0.6995, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4662, root_relative_squared_error: 0.9632, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.7987, kappa: 0.5951, kb_relative_information_score: 226.6554, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8355, predictive_accuracy: 0.7956, prior_entropy: 0.9544, recall: 0.7956, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4901, f_measure: 0.4815, kb_relative_information_score: -0.107, mean_absolute_error: 0.4686, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.3914, predictive_accuracy: 0.6256, prior_entropy: 0.9544, recall: 0.6256, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.484, root_relative_squared_error: 1,

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