Task
Supervised Classification on analcatdata_apnea3

Supervised Classification on analcatdata_apnea3

Task 3630 Supervised Classification analcatdata_apnea3 554 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8655, f_measure: 0.9032, kappa: 0.4941, kb_relative_information_score: 137.8273, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9147, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9053, kappa: 0.5255, kb_relative_information_score: 193.8185, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9046, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8664, kappa: 0.2734, kb_relative_information_score: 136.2814, mean_absolute_error: 0.143, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.8989, predictive_accuracy: 0.8978, prior_entropy: 0.5405, recall: 0.8978, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2533, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.9085, kappa: 0.572, kb_relative_information_score: 171.8628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9082, predictive_accuracy: 0.9089, prior_entropy: 0.5405, recall: 0.9089, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9032, kappa: 0.4941, kb_relative_information_score: 150.4823, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9147, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.9173, kappa: 0.6023, kb_relative_information_score: 161.9297, mean_absolute_error: 0.1076, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9157, predictive_accuracy: 0.92, prior_entropy: 0.5405, recall: 0.92, relative_absolute_error: 0.4986, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.9199, kappa: 0.6165, kb_relative_information_score: 239.9063, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9185, predictive_accuracy: 0.9222, prior_entropy: 0.5405, recall: 0.9222, relative_absolute_error: 0.3549, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8975, kappa: 0.4695, kb_relative_information_score: 124.208, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9023, predictive_accuracy: 0.9111, prior_entropy: 0.5405, recall: 0.9111, relative_absolute_error: 0.552, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7809, f_measure: 0.8206, kb_relative_information_score: -70.37, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.8983, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8622, kappa: 0.2487, kb_relative_information_score: 108.3017, mean_absolute_error: 0.1588, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.896, predictive_accuracy: 0.8956, prior_entropy: 0.5405, recall: 0.8956, relative_absolute_error: 0.7356, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7802, f_measure: 0.8206, kb_relative_information_score: -90.0906, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.9003, kappa: 0.4723, kb_relative_information_score: 150.7045, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9204, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.6239, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.7483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.9219, kappa: 0.6244, kb_relative_information_score: 189.3, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9205, predictive_accuracy: 0.9244, prior_entropy: 0.5405, recall: 0.9244, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.236, root_relative_squared_error: 0.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9097, kappa: 0.5723, kb_relative_information_score: 217.1581, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9085, predictive_accuracy: 0.9111, prior_entropy: 0.5405, recall: 0.9111, relative_absolute_error: 0.3995, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.7772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.9119, kappa: 0.573, kb_relative_information_score: 208.0363, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.91, predictive_accuracy: 0.9156, prior_entropy: 0.5405, recall: 0.9156, relative_absolute_error: 0.4537, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.7247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8206, kb_relative_information_score: 25.9467, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.9253, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.9355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4741, f_measure: 0.8206, kb_relative_information_score: -4.7739, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.9153, kappa: 0.5946, kb_relative_information_score: 179.4319, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9138, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9022, kappa: 0.5443, kb_relative_information_score: 214.8335, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9022, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8206, kb_relative_information_score: -88.9303, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.8503, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3046, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9032, kappa: 0.4941, kb_relative_information_score: 150.5009, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9147, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9168, kappa: 0.6076, kb_relative_information_score: 193.5101, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9159, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.9032, kappa: 0.4941, kb_relative_information_score: 149.705, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9147, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.6238, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.7486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.9211, kappa: 0.618, kb_relative_information_score: 196.7629, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9197, predictive_accuracy: 0.9244, prior_entropy: 0.5405, recall: 0.9244, relative_absolute_error: 0.4956, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9167, kappa: 0.6281, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9217, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9167, kappa: 0.6281, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9217, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9007, kappa: 0.5209, kb_relative_information_score: 176.6181, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.8983, predictive_accuracy: 0.9044, prior_entropy: 0.5405, recall: 0.9044, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8842, kappa: 0.3809, kb_relative_information_score: 146.9007, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9045, predictive_accuracy: 0.9067, prior_entropy: 0.5405, recall: 0.9067, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 120.0472, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.9168, kappa: 0.6076, kb_relative_information_score: 193.5101, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9159, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9269, f_measure: 0.9057, kappa: 0.5008, kb_relative_information_score: 146.6347, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9286, predictive_accuracy: 0.9222, prior_entropy: 0.5405, recall: 0.9222, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.7458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9032, kappa: 0.4941, kb_relative_information_score: 150.5009, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9147, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9155, kappa: 0.6171, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9185, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 120.0472, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9155, kappa: 0.6171, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9185, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 120.0472, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9155, kappa: 0.6171, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9185, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 120.0472, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8254, f_measure: 0.9155, kappa: 0.6171, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9185, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 120.0472, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.8184, kappa: -0.0087, kb_relative_information_score: -21.265, mean_absolute_error: 0.1994, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.77, predictive_accuracy: 0.8733, prior_entropy: 0.5405, recall: 0.8733, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.8797, kappa: 0.3927, kb_relative_information_score: 83.9724, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.8758, predictive_accuracy: 0.8911, prior_entropy: 0.5405, recall: 0.8911, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2722, root_relative_squared_error: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.9081, kappa: 0.5782, kb_relative_information_score: 197.1076, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9097, predictive_accuracy: 0.9067, prior_entropy: 0.5405, recall: 0.9067, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3055, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.8788, kappa: 0.3582, kb_relative_information_score: 179.3245, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.8878, predictive_accuracy: 0.9, prior_entropy: 0.5405, recall: 0.9, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.9654, scimark_benchmark: 1631.1992, usercpu_time_millis: 265.625, usercpu_time_millis_training: 265.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 120.0472, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.9022, kappa: 0.5443, kb_relative_information_score: 154.4772, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9022, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.7993, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.9214, kappa: 0.6522, kb_relative_information_score: 200.5953, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9275, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.7225, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.9219, kappa: 0.6347, kb_relative_information_score: 184.865, mean_absolute_error: 0.1141, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9216, predictive_accuracy: 0.9222, prior_entropy: 0.5405, recall: 0.9222, relative_absolute_error: 0.5284, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.7132, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9167, kappa: 0.6281, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9217, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9167, kappa: 0.6281, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9217, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988, scimark_benchmark: 1365.6574, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.9225, kappa: 0.6403, kb_relative_information_score: 186.2271, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9228, predictive_accuracy: 0.9222, prior_entropy: 0.5405, recall: 0.9222, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7073, scimark_benchmark: 1082.0752, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.9085, kappa: 0.572, kb_relative_information_score: 171.8628, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9082, predictive_accuracy: 0.9089, prior_entropy: 0.5405, recall: 0.9089, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.7958, scimark_benchmark: 981.8192, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9022, kappa: 0.5443, kb_relative_information_score: 214.8335, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9022, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.6911, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9022, kappa: 0.5443, kb_relative_information_score: 214.8335, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9022, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.6911, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8981, kappa: 0.4822, kb_relative_information_score: 173.3164, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.8984, predictive_accuracy: 0.9089, prior_entropy: 0.5405, recall: 0.9089, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2776, root_relative_squared_error: 0.8477, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8884, f_measure: 0.914, kappa: 0.5738, kb_relative_information_score: 215.0014, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9131, predictive_accuracy: 0.92, prior_entropy: 0.5405, recall: 0.92, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.6995, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9022, kappa: 0.5443, kb_relative_information_score: 214.8335, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9022, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.6911, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.9153, kappa: 0.5946, kb_relative_information_score: 179.058, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9138, predictive_accuracy: 0.9178, prior_entropy: 0.5405, recall: 0.9178, relative_absolute_error: 0.4446, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.7301, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8411, f_measure: 0.9167, kappa: 0.6281, kb_relative_information_score: 214.8908, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.2158, number_of_instances: 450, precision: 0.9217, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.4015, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.8988, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,

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