OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.7162, kappa: 0.4297, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7162, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676, scimark_benchmark: 936.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7064, kappa: 0.4096, kb_relative_information_score: 85.2012, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0855, scimark_benchmark: 923.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7907, f_measure: 0.6814, kappa: 0.3715, kb_relative_information_score: 75.3967, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6957, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9978, scimark_benchmark: 945.5174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.4406, kappa: 0.0314, kb_relative_information_score: 10.6259, mean_absolute_error: 0.473, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.5514, predictive_accuracy: 0.5433, prior_entropy: 0.9968, recall: 0.5433, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5591, root_relative_squared_error: 1.1208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 140.6552, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.3327, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.6573, scimark_benchmark: 946.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.7885, kappa: 0.575, kb_relative_information_score: 110.1109, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7885, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4814, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3874, root_relative_squared_error: 0.7766, scimark_benchmark: 947.0219,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6252, f_measure: 0.6266, kappa: 0.2543, kb_relative_information_score: 55.0079, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6363, predictive_accuracy: 0.6346, prior_entropy: 0.9968, recall: 0.6346, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.2117, scimark_benchmark: 942.6576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9089, f_measure: 0.846, kappa: 0.6905, kb_relative_information_score: 139.3973, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8461, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7278, scimark_benchmark: 911.1706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7688, kappa: 0.5352, kb_relative_information_score: 112.4649, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.769, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8928, scimark_benchmark: 851.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8022, kappa: 0.6022, kb_relative_information_score: 125.5643, mean_absolute_error: 0.1971, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8034, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4396, root_relative_squared_error: 0.8812, scimark_benchmark: 937.0612,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5724, f_measure: 0.4923, kappa: 0.0149, kb_relative_information_score: 11.4189, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.5116, predictive_accuracy: 0.524, prior_entropy: 0.9968, recall: 0.524, relative_absolute_error: 0.947, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.055, scimark_benchmark: 943.2049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7579, kappa: 0.5132, kb_relative_information_score: 84.3946, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7613, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.6233, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7634, scimark_benchmark: 932.8907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7836, kappa: 0.5651, kb_relative_information_score: 89.7403, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7835, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7699, scimark_benchmark: 939.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7302, kappa: 0.4607, kb_relative_information_score: 50.7281, mean_absolute_error: 0.3944, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7439, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.7923, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.8805, scimark_benchmark: 940.524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7881, kappa: 0.5739, kb_relative_information_score: 121.5376, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8806, scimark_benchmark: 946.1988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 82.8681, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7745, scimark_benchmark: 922.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.7726, kappa: 0.5428, kb_relative_information_score: 117.1326, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7755, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.4352, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8963, scimark_benchmark: 944.0597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.7791, kappa: 0.5574, kb_relative_information_score: 92.5086, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7806, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7269, scimark_benchmark: 940.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.7254, kappa: 0.4476, kb_relative_information_score: 93.5177, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7256, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9523, scimark_benchmark: 943.7777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7589, kappa: 0.5152, kb_relative_information_score: 74.156, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7595, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.6727, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8112, scimark_benchmark: 925.1957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.7785, kappa: 0.5545, kb_relative_information_score: 116.109, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7787, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.8468, scimark_benchmark: 944.4637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.7881, kappa: 0.5739, kb_relative_information_score: 121.5376, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8806, scimark_benchmark: 931.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8934, f_measure: 0.7916, kappa: 0.5811, kb_relative_information_score: 87.1147, mean_absolute_error: 0.3064, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7962, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6155, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7426, scimark_benchmark: 927.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7962, kappa: 0.5906, kb_relative_information_score: 103.4735, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8018, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.519, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8295, scimark_benchmark: 916.1136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7064, kappa: 0.4096, kb_relative_information_score: 85.2012, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0855, scimark_benchmark: 945.8406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 132.8973, mean_absolute_error: 0.1797, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7985, scimark_benchmark: 887.5941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.865, kappa: 0.7285, kb_relative_information_score: 151.6264, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8661, predictive_accuracy: 0.8654, prior_entropy: 0.9968, recall: 0.8654, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7355, scimark_benchmark: 935.3071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.7271, kappa: 0.4527, kb_relative_information_score: 53.1347, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7348, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.8686, scimark_benchmark: 944.7016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7064, kappa: 0.4096, kb_relative_information_score: 85.2012, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0855, scimark_benchmark: 941.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.7016, kappa: 0.4026, kb_relative_information_score: 50.7535, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7115, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.7893, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9222, scimark_benchmark: 944.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8743, kappa: 0.7472, kb_relative_information_score: 155.4603, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8777, predictive_accuracy: 0.875, prior_entropy: 0.9968, recall: 0.875, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7073, scimark_benchmark: 923.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.7776, kappa: 0.5528, kb_relative_information_score: 113.5771, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.78, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8683, scimark_benchmark: 944.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8166, kappa: 0.631, kb_relative_information_score: 132.8879, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8183, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7911, scimark_benchmark: 946.7862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 947.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8364, kappa: 0.6712, kb_relative_information_score: 137.2063, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8365, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3416, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7432, scimark_benchmark: 947.4728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 130.3146, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.3763, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8119, scimark_benchmark: 935.6581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8257, kappa: 0.6495, kb_relative_information_score: 136.3584, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.83, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8183, scimark_benchmark: 919.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6763, kappa: 0.3624, kb_relative_information_score: 75.357, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6917, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0169, scimark_benchmark: 899.2539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.85, kappa: 0.6984, kb_relative_information_score: 145.5716, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8539, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7599, scimark_benchmark: 915.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 923.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8166, kappa: 0.631, kb_relative_information_score: 132.8879, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8183, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7911, scimark_benchmark: 945.8071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.629, kappa: 0.2538, kb_relative_information_score: 49.7977, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6289, predictive_accuracy: 0.6298, prior_entropy: 0.9968, recall: 0.6298, relative_absolute_error: 0.7644, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.0773, scimark_benchmark: 945.2646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9105, f_measure: 0.8268, kappa: 0.6518, kb_relative_information_score: 137.6399, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8268, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7353,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 99.076, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8702, scimark_benchmark: 931.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8306, kappa: 0.6595, kb_relative_information_score: 138.7146, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8343, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.7851, scimark_benchmark: 576.8035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 86.8463, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7435, scimark_benchmark: 944.3514,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.7717, kappa: 0.5415, kb_relative_information_score: 84.9113, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7777, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.6249, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7513, scimark_benchmark: 929.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8166, kappa: 0.631, kb_relative_information_score: 132.8879, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8183, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7911, scimark_benchmark: 938.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 945.4291,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.8312, kappa: 0.6604, kb_relative_information_score: 137.5655, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8325, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3379, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8203, scimark_benchmark: 947.9345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 931.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.7064, kappa: 0.4096, kb_relative_information_score: 85.2012, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7063, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.5892, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0855, scimark_benchmark: 914.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7641, kappa: 0.5258, kb_relative_information_score: 109.016, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7642, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9149, scimark_benchmark: 947.6427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8166, kappa: 0.631, kb_relative_information_score: 132.8879, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8183, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3592, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.7911, scimark_benchmark: 947.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, f_measure: 0.7636, kappa: 0.5245, kb_relative_information_score: 110.7773, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7646, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9353, scimark_benchmark: 946.2471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.84, kappa: 0.6785, kb_relative_information_score: 141.5919, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8455, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3186, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7959, scimark_benchmark: 939.3245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8315, kappa: 0.6613, kb_relative_information_score: 137.5362, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8223, scimark_benchmark: 947.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7958, kappa: 0.5901, kb_relative_information_score: 98.0909, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8033, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7524, scimark_benchmark: 930.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.3821, kappa: 0.011, kb_relative_information_score: 14.7502, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7525, predictive_accuracy: 0.5385, prior_entropy: 0.9968, recall: 0.5385, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3618, scimark_benchmark: 948.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8312, kappa: 0.6604, kb_relative_information_score: 137.5362, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8325, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8223, scimark_benchmark: 948.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7518, kappa: 0.5019, kb_relative_information_score: 85.6045, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7592, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7759, scimark_benchmark: 948.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7629, kappa: 0.5233, kb_relative_information_score: 72.991, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7657, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7913, scimark_benchmark: 914.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7671, kappa: 0.5321, kb_relative_information_score: 77.4921, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7721, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7751, scimark_benchmark: 947.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.87, kappa: 0.7387, kb_relative_information_score: 153.6392, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8702, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 947.0731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.7907, kappa: 0.58, kb_relative_information_score: 79.9299, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7991, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7581, scimark_benchmark: 939.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8459, kappa: 0.6901, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 946.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 912.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.4974, kappa: 0.1418, kb_relative_information_score: 38.9048, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7701, predictive_accuracy: 0.5962, prior_entropy: 0.9968, recall: 0.5962, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.2739, scimark_benchmark: 892.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.4029, kappa: 0.0329, kb_relative_information_score: 18.776, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.5481, prior_entropy: 0.9968, recall: 0.5481, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3476, scimark_benchmark: 911.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.8016, kappa: 0.6011, kb_relative_information_score: 116.5327, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8049, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.4507, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3884, root_relative_squared_error: 0.7785, scimark_benchmark: 948.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7362, kappa: 0.4715, kb_relative_information_score: 64.0983, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7463, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4332, root_relative_squared_error: 0.8683, scimark_benchmark: 945.3397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.3715, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0935, scimark_benchmark: 944.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8175, kappa: 0.6344, kb_relative_information_score: 131.4975, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8191, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8568, scimark_benchmark: 946.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 923.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8408, kappa: 0.6798, kb_relative_information_score: 138.8369, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8422, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7343, scimark_benchmark: 941.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6825, kappa: 0.3617, kb_relative_information_score: 74.1469, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6823, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.0782, scimark_benchmark: 945.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8455, kappa: 0.6893, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 946.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6925, kappa: 0.3866, kb_relative_information_score: 76.4202, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6973, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0323, scimark_benchmark: 945.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 102.7145, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8066, scimark_benchmark: 947.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 102.7145, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8066, scimark_benchmark: 947.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.759, kappa: 0.5323, kb_relative_information_score: 113.3816, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8337, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4754, root_relative_squared_error: 0.9529, scimark_benchmark: 941.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.6661, kappa: 0.3287, kb_relative_information_score: 69.0981, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6678, predictive_accuracy: 0.6683, prior_entropy: 0.9968, recall: 0.6683, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.576, root_relative_squared_error: 1.1545, scimark_benchmark: 949.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7303, kappa: 0.4577, kb_relative_information_score: 78.8349, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7304, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7955, scimark_benchmark: 947.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8364, kappa: 0.6712, kb_relative_information_score: 139.549, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8365, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8104, scimark_benchmark: 946.1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7982, kappa: 0.5948, kb_relative_information_score: 105.9553, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7984, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7328, scimark_benchmark: 946.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 947.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8696, kappa: 0.7377, kb_relative_information_score: 153.6392, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8723, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7222, scimark_benchmark: 923.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6974, kappa: 0.395, kb_relative_information_score: 75.0694, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7004, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0352, scimark_benchmark: 911.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 942.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7958, kappa: 0.5901, kb_relative_information_score: 79.8383, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8033, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7603, scimark_benchmark: 949.0744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.714, kappa: 0.4253, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7174, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676, scimark_benchmark: 947.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8412, kappa: 0.6806, kb_relative_information_score: 141.5619, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8413, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7984, scimark_benchmark: 921.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 940.7135,

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