OpenML
Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 9957 Supervised Classification qsar-biodeg 149823 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.71, kappa: 0.3368, kb_relative_information_score: 238.1788, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7577, predictive_accuracy: 0.746, prior_entropy: 0.9226, recall: 0.746, relative_absolute_error: 0.7971, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8712, scimark_benchmark: 1282.8166, usercpu_time_millis: 4.706, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8112, kappa: 0.5674, kb_relative_information_score: 452.7538, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8204, predictive_accuracy: 0.8199, prior_entropy: 0.9226, recall: 0.8199, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7433, scimark_benchmark: 1311.0549, usercpu_time_millis: 4.168, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.5699, kappa: 0.069, kb_relative_information_score: 34.2792, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7305, predictive_accuracy: 0.6787, prior_entropy: 0.9226, recall: 0.6787, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9808, scimark_benchmark: 1309.6679, usercpu_time_millis: 8.633, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 8.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5324, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 2.2662, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9979, scimark_benchmark: 1309.6317, usercpu_time_millis: 8.622, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 8.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.6973, kappa: 0.3109, kb_relative_information_score: 219.7505, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.76, predictive_accuracy: 0.7403, prior_entropy: 0.9226, recall: 0.7403, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8802, scimark_benchmark: 1277.2356, usercpu_time_millis: 4.746, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 4.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8769, kappa: 0.7229, kb_relative_information_score: 619.1546, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9226, recall: 0.8777, relative_absolute_error: 0.4349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6464, scimark_benchmark: 1312.2737, usercpu_time_millis: 4.011, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8399, f_measure: 0.6266, kappa: 0.1725, kb_relative_information_score: 145.9276, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7538, predictive_accuracy: 0.7052, prior_entropy: 0.9226, recall: 0.7052, relative_absolute_error: 0.8789, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.918, scimark_benchmark: 1316.811, usercpu_time_millis: 5.329, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 5.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 1.5182, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9983, scimark_benchmark: 1286.7888, usercpu_time_millis: 8.694, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 8.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 580.1098, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4703, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.6669, scimark_benchmark: 1294.8982, usercpu_time_millis: 7.415, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 7.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.532, kappa: 0.0055, kb_relative_information_score: 1.5974, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6646, predictive_accuracy: 0.6635, prior_entropy: 0.9226, recall: 0.6635, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9983, scimark_benchmark: 1311.4748, usercpu_time_millis: 8.329, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 8.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.7569, kappa: 0.4414, kb_relative_information_score: 311.1491, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.772, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8375, scimark_benchmark: 1303.753, usercpu_time_millis: 6.134, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 6.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.5749, kappa: 0.0737, kb_relative_information_score: 87.2954, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6959, predictive_accuracy: 0.6777, prior_entropy: 0.9226, recall: 0.6777, relative_absolute_error: 0.9284, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9511, scimark_benchmark: 1302.8511, usercpu_time_millis: 4.995, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8442, kappa: 0.6452, kb_relative_information_score: 515.336, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8473, predictive_accuracy: 0.8483, prior_entropy: 0.9226, recall: 0.8483, relative_absolute_error: 0.538, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7175, scimark_benchmark: 1292.9143, usercpu_time_millis: 4.595, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 4.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8321, kappa: 0.6209, kb_relative_information_score: 509.1751, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8318, predictive_accuracy: 0.8341, prior_entropy: 0.9226, recall: 0.8341, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7429, scimark_benchmark: 1289.8287, usercpu_time_millis: 6.731, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 6.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5888, f_measure: 0.5752, kappa: 0.0778, kb_relative_information_score: 43.5746, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7274, predictive_accuracy: 0.6806, prior_entropy: 0.9226, recall: 0.6806, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9765, scimark_benchmark: 1310.7397, usercpu_time_millis: 9.691, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 9.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8701, kappa: 0.7077, kb_relative_information_score: 572.536, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8699, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6694, scimark_benchmark: 1312.2213, usercpu_time_millis: 14.721, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 14.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8165, kappa: 0.5797, kb_relative_information_score: 371.3909, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8253, predictive_accuracy: 0.8246, prior_entropy: 0.9226, recall: 0.8246, relative_absolute_error: 0.6771, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7945, scimark_benchmark: 1307.1167, usercpu_time_millis: 4.876, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 4.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8782, kappa: 0.7249, kb_relative_information_score: 614.8911, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8785, predictive_accuracy: 0.8796, prior_entropy: 0.9226, recall: 0.8796, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.6411, scimark_benchmark: 1281.0673, usercpu_time_millis: 4.117, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 4.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.843, kappa: 0.6444, kb_relative_information_score: 526.2137, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8433, predictive_accuracy: 0.8455, prior_entropy: 0.9226, recall: 0.8455, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.7174, scimark_benchmark: 1314.7742, usercpu_time_millis: 5.128, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 5.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8501, f_measure: 0.6965, kappa: 0.3089, kb_relative_information_score: 212.9891, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7576, predictive_accuracy: 0.7393, prior_entropy: 0.9226, recall: 0.7393, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8844, scimark_benchmark: 1291.9948, usercpu_time_millis: 4.946, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7569, kappa: 0.4414, kb_relative_information_score: 311.3043, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.772, predictive_accuracy: 0.7735, prior_entropy: 0.9226, recall: 0.7735, relative_absolute_error: 0.7308, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8374, scimark_benchmark: 1311.3961, usercpu_time_millis: 6.421, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 6.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8709, kappa: 0.7092, kb_relative_information_score: 566.8552, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6712, scimark_benchmark: 1281.2029, usercpu_time_millis: 266.073, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 266.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8691, kappa: 0.7053, kb_relative_information_score: 577.973, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4725, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6687, scimark_benchmark: 1300.2443, usercpu_time_millis: 10.502, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 10.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8469, kappa: 0.6511, kb_relative_information_score: 581.6219, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8506, predictive_accuracy: 0.8512, prior_entropy: 0.9226, recall: 0.8512, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6916, scimark_benchmark: 1310.3092, usercpu_time_millis: 7.551, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 7.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.6835, kappa: 0.2803, kb_relative_information_score: 197.5475, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7445, predictive_accuracy: 0.7299, prior_entropy: 0.9226, recall: 0.7299, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8928, scimark_benchmark: 1294.6331, usercpu_time_millis: 4.961, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 4.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8699, kappa: 0.7069, kb_relative_information_score: 567.4044, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8698, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6718, scimark_benchmark: 1314.0352, usercpu_time_millis: 269.714, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 269.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7843, kappa: 0.5053, kb_relative_information_score: 392.577, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7935, predictive_accuracy: 0.7953, prior_entropy: 0.9226, recall: 0.7953, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7927, scimark_benchmark: 1281.9856, usercpu_time_millis: 5.242, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 5.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8776, kappa: 0.7241, kb_relative_information_score: 594.8111, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8775, predictive_accuracy: 0.8787, prior_entropy: 0.9226, recall: 0.8787, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6595, scimark_benchmark: 1298.0066, usercpu_time_millis: 3.408, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8196, kappa: 0.5869, kb_relative_information_score: 479.5306, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8283, predictive_accuracy: 0.8275, prior_entropy: 0.9226, recall: 0.8275, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7504, scimark_benchmark: 1302.1135, usercpu_time_millis: 8.397, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 8.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.5762, kappa: 0.0753, kb_relative_information_score: 94.7341, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6917, predictive_accuracy: 0.6777, prior_entropy: 0.9226, recall: 0.6777, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9448, scimark_benchmark: 1309.5846, usercpu_time_millis: 4.48, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 4.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.6429, kappa: 0.204, kb_relative_information_score: 163.3045, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7603, predictive_accuracy: 0.7137, prior_entropy: 0.9226, recall: 0.7137, relative_absolute_error: 0.8639, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9098, scimark_benchmark: 1300.0827, usercpu_time_millis: 5.017, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 4.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8691, kappa: 0.7053, kb_relative_information_score: 569.3895, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6709, scimark_benchmark: 1278.8624, usercpu_time_millis: 69.289, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 69.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8768, kappa: 0.7225, kb_relative_information_score: 636.5132, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8766, predictive_accuracy: 0.8777, prior_entropy: 0.9226, recall: 0.8777, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.6398, scimark_benchmark: 1311.6033, usercpu_time_millis: 3.948, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.8091, kappa: 0.5724, kb_relative_information_score: 480.4613, mean_absolute_error: 0.2481, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8088, predictive_accuracy: 0.8095, prior_entropy: 0.9226, recall: 0.8095, relative_absolute_error: 0.5547, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7546, scimark_benchmark: 1307.0133, usercpu_time_millis: 4.692, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.576, kappa: 0.0775, kb_relative_information_score: 82.1214, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7118, predictive_accuracy: 0.6796, prior_entropy: 0.9226, recall: 0.6796, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.954, scimark_benchmark: 1289.7706, usercpu_time_millis: 4.913, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 4.795,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5664, kappa: 0.0638, kb_relative_information_score: 30.8609, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7378, predictive_accuracy: 0.6777, prior_entropy: 0.9226, recall: 0.6777, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4646, root_relative_squared_error: 0.9827, scimark_benchmark: 1286.8565, usercpu_time_millis: 8.671, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 8.507,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.8719, kappa: 0.7116, kb_relative_information_score: 584.5746, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6635, scimark_benchmark: 1298.792, usercpu_time_millis: 4.301, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 4.227,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8551, f_measure: 0.5956, kappa: 0.1146, kb_relative_information_score: 111.6594, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7409, predictive_accuracy: 0.69, prior_entropy: 0.9226, recall: 0.69, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9362, scimark_benchmark: 1299.9196, usercpu_time_millis: 4.77, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.5794, kappa: 0.0805, kb_relative_information_score: 112.8111, mean_absolute_error: 0.4028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6909, predictive_accuracy: 0.6787, prior_entropy: 0.9226, recall: 0.6787, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.9353, scimark_benchmark: 1306.2027, usercpu_time_millis: 4.792, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, f_measure: 0.5567, kappa: 0.0436, kb_relative_information_score: 75.8852, mean_absolute_error: 0.4185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6851, predictive_accuracy: 0.6711, prior_entropy: 0.9226, recall: 0.6711, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9529, scimark_benchmark: 1303.5933, usercpu_time_millis: 4.511, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 4.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.5791, kappa: 0.0849, kb_relative_information_score: 49.6827, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7321, predictive_accuracy: 0.6825, prior_entropy: 0.9226, recall: 0.6825, relative_absolute_error: 0.951, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9733, scimark_benchmark: 1285.5184, usercpu_time_millis: 8.502, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 8.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 569.1669, mean_absolute_error: 0.2155, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711, scimark_benchmark: 1307.5343, usercpu_time_millis: 183.199, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 183.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8261, kappa: 0.615, kb_relative_information_score: 510.292, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8287, predictive_accuracy: 0.8246, prior_entropy: 0.9226, recall: 0.8246, relative_absolute_error: 0.5276, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.354, root_relative_squared_error: 0.7488, scimark_benchmark: 1312.4037, usercpu_time_millis: 5.985, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 5.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8633, f_measure: 0.6984, kappa: 0.3102, kb_relative_information_score: 234.2951, mean_absolute_error: 0.3575, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7408, predictive_accuracy: 0.7355, prior_entropy: 0.9226, recall: 0.7355, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8714, scimark_benchmark: 1297.8814, usercpu_time_millis: 5.176, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8285, kappa: 0.6128, kb_relative_information_score: 530.9579, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.828, predictive_accuracy: 0.8303, prior_entropy: 0.9226, recall: 0.8303, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.7126, scimark_benchmark: 1312.9779, usercpu_time_millis: 3.997, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.7649, kappa: 0.4596, kb_relative_information_score: 359.7583, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7841, predictive_accuracy: 0.782, prior_entropy: 0.9226, recall: 0.782, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.8047, scimark_benchmark: 1314.0635, usercpu_time_millis: 4.926, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8912, f_measure: 0.8078, kappa: 0.5688, kb_relative_information_score: 479.8394, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8073, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7536, scimark_benchmark: 1312.17, usercpu_time_millis: 4.657, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.8121, kappa: 0.5757, kb_relative_information_score: 507.4925, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8114, predictive_accuracy: 0.8142, prior_entropy: 0.9226, recall: 0.8142, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7311, scimark_benchmark: 1291.6902, usercpu_time_millis: 4.368, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 4.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.6371, kappa: 0.189, kb_relative_information_score: 133.7725, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7351, predictive_accuracy: 0.7071, prior_entropy: 0.9226, recall: 0.7071, relative_absolute_error: 0.8906, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9276, scimark_benchmark: 1295.2947, usercpu_time_millis: 5.29, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 5.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7722, f_measure: 0.6646, kappa: 0.2439, kb_relative_information_score: 170.8887, mean_absolute_error: 0.3823, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.75, predictive_accuracy: 0.7223, prior_entropy: 0.9226, recall: 0.7223, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9197, scimark_benchmark: 1289.4911, usercpu_time_millis: 9.832, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 9.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8691, kappa: 0.7053, kb_relative_information_score: 571.8924, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8689, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.6703, scimark_benchmark: 1311.1061, usercpu_time_millis: 42.388, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 42.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8679, kappa: 0.7021, kb_relative_information_score: 596.9221, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4527, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.313, root_relative_squared_error: 0.662, scimark_benchmark: 1310.4535, usercpu_time_millis: 3.401, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 3.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.8187, kappa: 0.5854, kb_relative_information_score: 476.526, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8248, predictive_accuracy: 0.8256, prior_entropy: 0.9226, recall: 0.8256, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7406, scimark_benchmark: 1308.8811, usercpu_time_millis: 4.666, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.547, kappa: 0.0274, kb_relative_information_score: 25.4575, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.6671, predictive_accuracy: 0.6673, prior_entropy: 0.9226, recall: 0.6673, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.989, scimark_benchmark: 1307.3607, usercpu_time_millis: 5.303, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 5.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 573.3853, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711, scimark_benchmark: 1293.6862, usercpu_time_millis: 115.327, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 115.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.6083, kappa: 0.1365, kb_relative_information_score: 80.3828, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7348, predictive_accuracy: 0.6948, prior_entropy: 0.9226, recall: 0.6948, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9581, scimark_benchmark: 1297.5337, usercpu_time_millis: 5.431, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 569.6545, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.671, scimark_benchmark: 1254.8537, usercpu_time_millis: 76.546, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 76.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8741, kappa: 0.7167, kb_relative_information_score: 582.24, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8738, predictive_accuracy: 0.8749, prior_entropy: 0.9226, recall: 0.8749, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6642, scimark_benchmark: 1310.108, usercpu_time_millis: 4.656, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 4.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8763, kappa: 0.7206, kb_relative_information_score: 649.633, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8765, predictive_accuracy: 0.8777, prior_entropy: 0.9226, recall: 0.8777, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6345, scimark_benchmark: 1277.1884, usercpu_time_millis: 4.792, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 4.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7574, kappa: 0.4425, kb_relative_information_score: 310.8856, mean_absolute_error: 0.3271, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7738, predictive_accuracy: 0.7744, prior_entropy: 0.9226, recall: 0.7744, relative_absolute_error: 0.7313, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8372, scimark_benchmark: 1294.0977, usercpu_time_millis: 5.261, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 5.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.8143, kappa: 0.5746, kb_relative_information_score: 456.0487, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8235, predictive_accuracy: 0.8227, prior_entropy: 0.9226, recall: 0.8227, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3498, root_relative_squared_error: 0.7397, scimark_benchmark: 1275.5381, usercpu_time_millis: 4.122, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8177, kappa: 0.5965, kb_relative_information_score: 496.5363, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8205, predictive_accuracy: 0.8161, prior_entropy: 0.9226, recall: 0.8161, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7574, scimark_benchmark: 1295.3709, usercpu_time_millis: 5.867, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 5.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.871, kappa: 0.7096, kb_relative_information_score: 569.4859, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6711, scimark_benchmark: 1312.4347, usercpu_time_millis: 103.968, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 103.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.8157, kappa: 0.5918, kb_relative_information_score: 480.9652, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8183, predictive_accuracy: 0.8142, prior_entropy: 0.9226, recall: 0.8142, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.7646, scimark_benchmark: 1302.8818, usercpu_time_millis: 6.131, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 6.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8564, kappa: 0.6762, kb_relative_information_score: 573.3347, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8562, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.4737, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6812, scimark_benchmark: 1312.3171, usercpu_time_millis: 3.556, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 3.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.7932, kappa: 0.5254, kb_relative_information_score: 355.6415, mean_absolute_error: 0.3089, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8058, predictive_accuracy: 0.8047, prior_entropy: 0.9226, recall: 0.8047, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.8055, scimark_benchmark: 1316.1253, usercpu_time_millis: 4.437, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 4.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.8083, kappa: 0.5706, kb_relative_information_score: 479.1414, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.808, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.556, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3573, root_relative_squared_error: 0.7557, scimark_benchmark: 1294.2469, usercpu_time_millis: 4.683, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 4.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8081, kappa: 0.5665, kb_relative_information_score: 490.7351, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8074, predictive_accuracy: 0.8104, prior_entropy: 0.9226, recall: 0.8104, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7449, scimark_benchmark: 1311.1808, usercpu_time_millis: 4.544, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 4.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8773, f_measure: 0.7524, kappa: 0.4308, kb_relative_information_score: 318.8268, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7752, predictive_accuracy: 0.7725, prior_entropy: 0.9226, recall: 0.7725, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8269, scimark_benchmark: 1309.7236, usercpu_time_millis: 5.612, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 5.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8709, kappa: 0.7092, kb_relative_information_score: 562.9871, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8708, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4884, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3183, root_relative_squared_error: 0.6732, scimark_benchmark: 1302.4967, usercpu_time_millis: 373.038, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 372.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8711, kappa: 0.71, kb_relative_information_score: 580.0686, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8709, predictive_accuracy: 0.872, prior_entropy: 0.9226, recall: 0.872, relative_absolute_error: 0.4708, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6658, scimark_benchmark: 1286.4938, usercpu_time_millis: 6.303, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 6.229,

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