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: 0.8917, 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: 1732.2066,
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: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 234.3029, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8562, predictive_accuracy: 0.8276, prior_entropy: 0.9544, recall: 0.8276, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7319, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8865, kappa: 0.7575, kb_relative_information_score: 278.955, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8864, predictive_accuracy: 0.8867, prior_entropy: 0.9544, recall: 0.8867, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3047, root_relative_squared_error: 0.6296, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8352, kappa: 0.6629, kb_relative_information_score: 219.0172, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8591, predictive_accuracy: 0.8325, prior_entropy: 0.9544, recall: 0.8325, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7261, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9259, kappa: 0.8414, kb_relative_information_score: 312.3489, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9259, predictive_accuracy: 0.9261, prior_entropy: 0.9544, recall: 0.9261, relative_absolute_error: 0.2407, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2564, root_relative_squared_error: 0.5298, scimark_benchmark: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
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: 1806.5905, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8746, kappa: 0.7329, kb_relative_information_score: 282.1272, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.875, predictive_accuracy: 0.8744, prior_entropy: 0.9544, recall: 0.8744, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7366, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, f_measure: 0.8745, kappa: 0.7322, kb_relative_information_score: 292.7096, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8746, predictive_accuracy: 0.8744, prior_entropy: 0.9544, recall: 0.8744, relative_absolute_error: 0.2724, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7304, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8303, kappa: 0.6539, kb_relative_information_score: 234.3029, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.8562, predictive_accuracy: 0.8276, prior_entropy: 0.9544, recall: 0.8276, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7319, scimark_benchmark: 1877.5305,
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: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
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, scimark_benchmark: 1850.8887,
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: 906.0979,
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: 0.951, 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: 0.6837, 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: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, 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: 941.6675,
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: 941.6675,
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: 941.6675,
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: 0.9709, 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: 905.2959,
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: 927.2917, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
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: 0.6837, 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: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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: 939.8002,
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: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, 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: 819.5729,
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: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 819.5729, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
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: 0.6837, 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: 934.5964, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
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: 938.1282,
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: 930.404,
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: 941.4991, 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: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, 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: 932.438, usercpu_time_millis: 790, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 450,
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: 932.438,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9219, kappa: 0.8352, kb_relative_information_score: 275.7136, mean_absolute_error: 0.1644, mean_prior_absolute_error: 0.4686, number_of_instances: 406, precision: 0.9255, predictive_accuracy: 0.9212, prior_entropy: 0.9544, recall: 0.9212, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.484, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5257, scimark_benchmark: 901.6243, usercpu_time_millis: 27650, usercpu_time_millis_testing: 9060, usercpu_time_millis_training: 18590,
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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: 1278.9821, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
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: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 1325.7874, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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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: 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: 1336.0954,
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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: 0.6837, 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: 0.9281, 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: 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: 908.2231,
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: 0.9295, 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,
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: 1375.1578, 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: 1324.8408,
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: 1340.9749,
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: 1340.9749,

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