OpenML
Supervised Classification on fri_c1_250_25

Supervised Classification on fri_c1_250_25

Task 3612 Supervised Classification fri_c1_250_25 558 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6358, kappa: 0.2524, kb_relative_information_score: 29.1239, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6357, predictive_accuracy: 0.64, prior_entropy: 0.9852, recall: 0.64, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9697, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.7368, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.8563, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.481, root_relative_squared_error: 0.9722, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8126, kappa: 0.6192, kb_relative_information_score: 146.2778, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8145, predictive_accuracy: 0.812, prior_entropy: 0.9852, recall: 0.812, relative_absolute_error: 0.4205, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3995, root_relative_squared_error: 0.8074, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 174.0454, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7238, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.8724, kappa: 0.7404, kb_relative_information_score: 169.7933, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8738, predictive_accuracy: 0.872, prior_entropy: 0.9852, recall: 0.872, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5969, scimark_benchmark: 1838.8826, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8565, kappa: 0.7086, kb_relative_information_score: 174.6226, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8588, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7636, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.3623, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6452, root_relative_squared_error: 1.304, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.6314, kappa: 0.2432, kb_relative_information_score: 29.1135, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6313, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4798, root_relative_squared_error: 0.9697, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6745, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 38.8179, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.972, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4163, kb_relative_information_score: -0.093, mean_absolute_error: 0.4898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0002, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6207, f_measure: 0.6254, kappa: 0.2392, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.628, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8432, kappa: 0.6787, kb_relative_information_score: 169.5928, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7983, usercpu_time_millis: 4.809, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 4.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6147, kappa: 0.2115, kb_relative_information_score: 58.3431, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6216, predictive_accuracy: 0.628, prior_entropy: 0.9852, recall: 0.628, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2327, usercpu_time_millis: 0.62, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5889, kappa: 0.1568, kb_relative_information_score: 39.8015, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5877, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.291, usercpu_time_millis: 0.724, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.6992, kappa: 0.3824, kb_relative_information_score: 97.4865, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7019, predictive_accuracy: 0.704, prior_entropy: 0.9852, recall: 0.704, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0996, usercpu_time_millis: 12.425, usercpu_time_millis_testing: 1.075, usercpu_time_millis_training: 11.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8092, kappa: 0.6082, kb_relative_information_score: 153.1114, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8143, predictive_accuracy: 0.812, prior_entropy: 0.9852, recall: 0.812, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8763, usercpu_time_millis: 195.184, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 194.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.8435, kappa: 0.6795, kb_relative_information_score: 169.5928, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8436, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7983, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6008, f_measure: 0.6107, kappa: 0.2029, kb_relative_information_score: 50.1024, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6099, predictive_accuracy: 0.612, prior_entropy: 0.9852, recall: 0.612, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.2589, usercpu_time_millis: 0.316, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.4576, kappa: 0.0451, kb_relative_information_score: 37.7413, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6896, predictive_accuracy: 0.588, prior_entropy: 0.9852, recall: 0.588, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2973, usercpu_time_millis: 0.344, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8821, f_measure: 0.8875, kappa: 0.7696, kb_relative_information_score: 192.2548, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8881, predictive_accuracy: 0.888, prior_entropy: 0.9852, recall: 0.888, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6764, usercpu_time_millis: 413.439, usercpu_time_millis_testing: 11.463, usercpu_time_millis_training: 401.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6183, f_measure: 0.6292, kappa: 0.2395, kb_relative_information_score: 60.4033, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6284, predictive_accuracy: 0.632, prior_entropy: 0.9852, recall: 0.632, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.226, usercpu_time_millis: 33.159, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 33.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.8614, kappa: 0.7155, kb_relative_information_score: 179.8937, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8708, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7453, usercpu_time_millis: 18.075, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 15.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8365, kappa: 0.6645, kb_relative_information_score: 167.5326, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8472, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.3267, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4, root_relative_squared_error: 0.8084, usercpu_time_millis: 3.011, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 2.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8663, kappa: 0.7256, kb_relative_information_score: 181.9539, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8712, predictive_accuracy: 0.868, prior_entropy: 0.9852, recall: 0.868, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7343, usercpu_time_millis: 3.641, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 3.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5775, f_measure: 0.5889, kappa: 0.1568, kb_relative_information_score: 39.8015, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5877, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.291, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.5872, kappa: 0.1528, kb_relative_information_score: 39.8015, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5862, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.291, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5787, f_measure: 0.5896, kappa: 0.1588, kb_relative_information_score: 39.8015, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5885, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.291, usercpu_time_millis: 0.275, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5681, f_measure: 0.58, kappa: 0.1382, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5787, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, usercpu_time_millis: 0.785, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.8636, kappa: 0.7209, kb_relative_information_score: 179.8937, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8637, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7453, usercpu_time_millis: 2.656, usercpu_time_millis_testing: 0.941, usercpu_time_millis_training: 1.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4163, kb_relative_information_score: 29.5006, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.3272, predictive_accuracy: 0.572, prior_entropy: 0.9852, recall: 0.572, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.3222, usercpu_time_millis: 1.395, usercpu_time_millis_testing: 0.029, usercpu_time_millis_training: 1.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7561, kappa: 0.5023, kb_relative_information_score: 124.2688, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7563, predictive_accuracy: 0.756, prior_entropy: 0.9852, recall: 0.756, relative_absolute_error: 0.4983, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9983, usercpu_time_millis: 1.786, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 1.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.5577, kappa: 0.1027, kb_relative_information_score: 21.2598, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5609, predictive_accuracy: 0.556, prior_entropy: 0.9852, recall: 0.556, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3467, usercpu_time_millis: 7.896, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 7.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.5077, kappa: 0.0055, kb_relative_information_score: 13.0191, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5136, predictive_accuracy: 0.54, prior_entropy: 0.9852, recall: 0.54, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3708, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6196, f_measure: 0.6251, kappa: 0.2375, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6269, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, usercpu_time_millis: 0.402, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.6336, kappa: 0.2486, kb_relative_information_score: 62.4634, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6328, predictive_accuracy: 0.636, prior_entropy: 0.9852, recall: 0.636, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2194, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 0.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, f_measure: 0.5861, kappa: 0.1661, kb_relative_information_score: 35.6811, mean_absolute_error: 0.416, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.593, predictive_accuracy: 0.584, prior_entropy: 0.9852, recall: 0.584, relative_absolute_error: 0.8495, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.645, root_relative_squared_error: 1.3035, usercpu_time_millis: 12.461, usercpu_time_millis_testing: 1.377, usercpu_time_millis_training: 11.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5917, kappa: 0.1621, kb_relative_information_score: 41.8616, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5907, predictive_accuracy: 0.596, prior_entropy: 0.9852, recall: 0.596, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2846, usercpu_time_millis: 0.639, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5977, kappa: 0.1753, kb_relative_information_score: 43.9218, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5966, predictive_accuracy: 0.6, prior_entropy: 0.9852, recall: 0.6, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2782, usercpu_time_millis: 1.425, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 1.318,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.5845, kappa: 0.1475, kb_relative_information_score: 37.7413, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5832, predictive_accuracy: 0.588, prior_entropy: 0.9852, recall: 0.588, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2973, usercpu_time_millis: 0.069, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.056,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.8593, kappa: 0.7117, kb_relative_information_score: 177.8335, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9852, recall: 0.86, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.7562, usercpu_time_millis: 3.414, usercpu_time_millis_testing: 1.369, usercpu_time_millis_training: 2.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8476, kappa: 0.6881, kb_relative_information_score: 171.653, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8476, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.788, usercpu_time_millis: 3.276, usercpu_time_millis_testing: 1.005, usercpu_time_millis_training: 2.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6019, f_measure: 0.6148, kappa: 0.2098, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6174, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, usercpu_time_millis: 0.646, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5636, f_measure: 0.5696, kappa: 0.1259, kb_relative_information_score: 27.4404, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5723, predictive_accuracy: 0.568, prior_entropy: 0.9852, recall: 0.568, relative_absolute_error: 0.8821, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3284, usercpu_time_millis: 0.4, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 0.036,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5814, kappa: 0.1492, kb_relative_information_score: 33.6209, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5837, predictive_accuracy: 0.58, prior_entropy: 0.9852, recall: 0.58, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.3098, usercpu_time_millis: 2.559, usercpu_time_millis_testing: 0.903, usercpu_time_millis_training: 1.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5739, f_measure: 0.5863, kappa: 0.1507, kb_relative_information_score: 39.8015, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5855, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6387, root_relative_squared_error: 1.291, usercpu_time_millis: 0.548, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 0.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5705, f_measure: 0.5827, kappa: 0.1434, kb_relative_information_score: 37.7413, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5817, predictive_accuracy: 0.588, prior_entropy: 0.9852, recall: 0.588, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6419, root_relative_squared_error: 1.2973, usercpu_time_millis: 1.167, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8279, kappa: 0.6469, kb_relative_information_score: 163.4123, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8406, predictive_accuracy: 0.832, prior_entropy: 0.9852, recall: 0.832, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8284, usercpu_time_millis: 1.711, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 1.506,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8627, kappa: 0.7183, kb_relative_information_score: 179.8937, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8656, predictive_accuracy: 0.864, prior_entropy: 0.9852, recall: 0.864, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7453, usercpu_time_millis: 60.508, usercpu_time_millis_testing: 3.518, usercpu_time_millis_training: 56.99,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 134.6709, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4787, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7411, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8478, kappa: 0.6888, kb_relative_information_score: 157.0707, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8477, predictive_accuracy: 0.848, prior_entropy: 0.9852, recall: 0.848, relative_absolute_error: 0.3876, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3413, root_relative_squared_error: 0.6899, scimark_benchmark: 936.3373, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 947.1781, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8439, kappa: 0.681, kb_relative_information_score: 150.1078, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8438, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4196, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7213, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8517, kappa: 0.6967, kb_relative_information_score: 132.9376, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.5034, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.7064, scimark_benchmark: 901.6243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.84, kappa: 0.6732, kb_relative_information_score: 148.7058, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.84, predictive_accuracy: 0.84, prior_entropy: 0.9852, recall: 0.84, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7152, scimark_benchmark: 944.0133, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 930.404, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5972, f_measure: 0.6099, kappa: 0.202, kb_relative_information_score: 56.2829, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.6172, predictive_accuracy: 0.624, prior_entropy: 0.9852, recall: 0.624, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2393, scimark_benchmark: 934.5964, usercpu_time_millis: 70, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8838, kappa: 0.7622, kb_relative_information_score: 144.8221, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 0.9852, recall: 0.884, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6312, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.5881, kappa: 0.1548, kb_relative_information_score: 31.6943, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.5869, predictive_accuracy: 0.592, prior_entropy: 0.9852, recall: 0.592, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0287, scimark_benchmark: 903.2737, usercpu_time_millis: 580, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.8277, kappa: 0.6475, kb_relative_information_score: 138.6689, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8276, predictive_accuracy: 0.828, prior_entropy: 0.9852, recall: 0.828, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.7318, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.8549, kappa: 0.7024, kb_relative_information_score: 100.799, mean_absolute_error: 0.3197, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8567, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7113, scimark_benchmark: 936.3213, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.7907, kappa: 0.5707, kb_relative_information_score: 67.4936, mean_absolute_error: 0.3792, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8028, predictive_accuracy: 0.796, prior_entropy: 0.9852, recall: 0.796, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8161, scimark_benchmark: 936.3373, usercpu_time_millis: 3460, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 2060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8125, kappa: 0.6152, kb_relative_information_score: 60.9216, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8202, predictive_accuracy: 0.816, prior_entropy: 0.9852, recall: 0.816, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8386, scimark_benchmark: 939.8002, usercpu_time_millis: 1650, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7875, kappa: 0.5639, kb_relative_information_score: 63.9953, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7962, predictive_accuracy: 0.792, prior_entropy: 0.9852, recall: 0.792, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8324, scimark_benchmark: 921.2615, usercpu_time_millis: 730, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7881, kappa: 0.565, kb_relative_information_score: 70.0821, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.795, predictive_accuracy: 0.792, prior_entropy: 0.9852, recall: 0.792, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8192, scimark_benchmark: 869.7667, usercpu_time_millis: 350, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8111, kappa: 0.6129, kb_relative_information_score: 88.0309, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8114, predictive_accuracy: 0.812, prior_entropy: 0.9852, recall: 0.812, relative_absolute_error: 0.6915, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.379, root_relative_squared_error: 0.7659, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.8515, kappa: 0.6959, kb_relative_information_score: 169.3307, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3228, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3535, root_relative_squared_error: 0.7145, scimark_benchmark: 926.5859, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8554, kappa: 0.7038, kb_relative_information_score: 173.2698, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8558, predictive_accuracy: 0.856, prior_entropy: 0.9852, recall: 0.856, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.689, scimark_benchmark: 929.0296, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9243, f_measure: 0.8515, kappa: 0.6959, kb_relative_information_score: 165.8593, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8517, predictive_accuracy: 0.852, prior_entropy: 0.9852, recall: 0.852, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6743, scimark_benchmark: 936.7184, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8423, kappa: 0.6764, kb_relative_information_score: 150.3464, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.8455, predictive_accuracy: 0.844, prior_entropy: 0.9852, recall: 0.844, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6958, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.7834, kappa: 0.5568, kb_relative_information_score: 120.9258, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4897, number_of_instances: 250, precision: 0.7833, predictive_accuracy: 0.784, prior_entropy: 0.9852, recall: 0.784, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.4948, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7664, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs