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OpenML
OpenML
Supervised Classification on ionosphere

Supervised Classification on ionosphere

Task 57 Supervised Classification ionosphere 1206 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 study_73 under100k under1m
Issue #Downvotes for this reason By


Metric:

1206 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, build_cpu_time: 0.2101, build_memory: 331292120.9801, f_measure: 0.9103, kappa: 0.8029, kb_relative_information_score: 260.696, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9127, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5273, scimark_benchmark: 920.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.0165, build_memory: 101110899.943, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555, scimark_benchmark: 945.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.0174, build_memory: 175997192.4558, f_measure: 0.8932, kappa: 0.7656, kb_relative_information_score: 260.9592, mean_absolute_error: 0.1173, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8945, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2547, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.6555, scimark_benchmark: 947.8005,
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: 0.9081, f_measure: 0.9026, kappa: 0.7873, kb_relative_information_score: 266.993, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9026, predictive_accuracy: 0.9031, prior_entropy: 0.9425, recall: 0.9031, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6137, scimark_benchmark: 948.1927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8968, kappa: 0.7718, kb_relative_information_score: 264.8945, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9081, predictive_accuracy: 0.9003, prior_entropy: 0.9425, recall: 0.9003, relative_absolute_error: 0.2461, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5526, scimark_benchmark: 594.7763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 237.1072, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.7107, scimark_benchmark: 594.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9041, kappa: 0.7887, kb_relative_information_score: 276.147, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9082, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.2101, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5624, scimark_benchmark: 595.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9175, kappa: 0.8208, kb_relative_information_score: 275.2674, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9175, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2164, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5568, scimark_benchmark: 596.2835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.7793, kappa: 0.5143, kb_relative_information_score: 20.2125, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.7796, predictive_accuracy: 0.7835, prior_entropy: 0.9425, recall: 0.7835, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9274, scimark_benchmark: 895.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8829, kappa: 0.7449, kb_relative_information_score: 258.6082, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8827, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7125, scimark_benchmark: 595.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8982, kappa: 0.7759, kb_relative_information_score: 233.128, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9022, predictive_accuracy: 0.9003, prior_entropy: 0.9425, recall: 0.9003, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.5782, scimark_benchmark: 946.0702,
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: 0.8942, f_measure: 0.8924, kappa: 0.7631, kb_relative_information_score: 239.5108, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8962, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.633, scimark_benchmark: 949.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9394, kappa: 0.867, kb_relative_information_score: 302.3977, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9415, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.4975, scimark_benchmark: 926.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9336, kappa: 0.8543, kb_relative_information_score: 299.0818, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9356, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1422, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5333, scimark_benchmark: 936.6965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8852, kappa: 0.7489, kb_relative_information_score: 260.8556, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8853, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.7037,
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: 0.8941, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 237.2356, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.341, root_relative_squared_error: 0.711, scimark_benchmark: 944.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9157, kappa: 0.8143, kb_relative_information_score: 264.8894, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9202, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2587, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.502, scimark_benchmark: 946.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, f_measure: 0.8767, kappa: 0.7276, kb_relative_information_score: 248.766, mean_absolute_error: 0.1327, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8845, predictive_accuracy: 0.8803, prior_entropy: 0.9425, recall: 0.8803, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6873, scimark_benchmark: 941.0941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9033, kappa: 0.7864, kb_relative_information_score: 273.3847, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9114, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.2177, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.285, root_relative_squared_error: 0.5942, scimark_benchmark: 936.7562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8564, kappa: 0.6828, kb_relative_information_score: 205.2653, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8625, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.678, scimark_benchmark: 941.2226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8743, kappa: 0.7227, kb_relative_information_score: 229.4054, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8799, predictive_accuracy: 0.8775, prior_entropy: 0.9425, recall: 0.8775, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3052, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9215, kappa: 0.8271, kb_relative_information_score: 273.1608, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9262, predictive_accuracy: 0.9231, prior_entropy: 0.9425, recall: 0.9231, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4912, scimark_benchmark: 938.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9081, f_measure: 0.9026, kappa: 0.7873, kb_relative_information_score: 266.993, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9026, predictive_accuracy: 0.9031, prior_entropy: 0.9425, recall: 0.9031, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.6137, scimark_benchmark: 913.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8287, kappa: 0.6202, kb_relative_information_score: 232.2647, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8623, predictive_accuracy: 0.8405, prior_entropy: 0.9425, recall: 0.8405, relative_absolute_error: 0.3261, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.7127, scimark_benchmark: 943.6359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9159, kappa: 0.815, kb_relative_information_score: 283.2676, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9193, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5913, scimark_benchmark: 949.6241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8224, kappa: 0.6121, kb_relative_information_score: 211.4123, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8219, predictive_accuracy: 0.8234, prior_entropy: 0.9425, recall: 0.8234, relative_absolute_error: 0.3836, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4203, root_relative_squared_error: 0.8761, scimark_benchmark: 917.2651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8934, kappa: 0.7665, kb_relative_information_score: 264.7847, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8942, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.6694, scimark_benchmark: 915.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9105, kappa: 0.8036, kb_relative_information_score: 253.8217, mean_absolute_error: 0.1349, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9122, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2931, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8786, kappa: 0.7335, kb_relative_information_score: 216.1642, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.88, predictive_accuracy: 0.8803, prior_entropy: 0.9425, recall: 0.8803, relative_absolute_error: 0.4118, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6565, scimark_benchmark: 915.7062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8149, kappa: 0.5899, kb_relative_information_score: 153.5979, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8541, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7367, scimark_benchmark: 925.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 941.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9368, kappa: 0.8619, kb_relative_information_score: 301.9053, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9374, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.509, scimark_benchmark: 943.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9366, kappa: 0.8609, kb_relative_information_score: 301.3141, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9383, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.5218, scimark_benchmark: 899.7157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8907, kappa: 0.7606, kb_relative_information_score: 240.3171, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8912, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.332, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6158, scimark_benchmark: 930.6145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9311, kappa: 0.8493, kb_relative_information_score: 296.1068, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9316, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5234, scimark_benchmark: 915.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8184, kappa: 0.5975, kb_relative_information_score: 153.643, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8561, predictive_accuracy: 0.8319, prior_entropy: 0.9425, recall: 0.8319, relative_absolute_error: 0.6028, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7416, scimark_benchmark: 943.5534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8937, kappa: 0.7648, kb_relative_information_score: 264.6961, mean_absolute_error: 0.1137, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9058, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.554, scimark_benchmark: 915.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.8829, kappa: 0.7449, kb_relative_information_score: 258.6082, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8827, predictive_accuracy: 0.8832, prior_entropy: 0.9425, recall: 0.8832, relative_absolute_error: 0.2537, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7125, scimark_benchmark: 909.2572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.9045, kappa: 0.7902, kb_relative_information_score: 252.6148, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9068, predictive_accuracy: 0.906, prior_entropy: 0.9425, recall: 0.906, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5398, scimark_benchmark: 925.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9159, kappa: 0.815, kb_relative_information_score: 283.2676, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9193, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2836, root_relative_squared_error: 0.5913, scimark_benchmark: 944.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.9339, kappa: 0.8553, kb_relative_information_score: 295.8826, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9347, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.5349, scimark_benchmark: 947.2813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8318, kappa: 0.6447, kb_relative_information_score: 216.0802, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8437, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7706, scimark_benchmark: 941.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8693, kappa: 0.7104, kb_relative_information_score: 251.861, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.884, predictive_accuracy: 0.8746, prior_entropy: 0.9425, recall: 0.8746, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.654, scimark_benchmark: 937.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7678, kappa: 0.4882, kb_relative_information_score: 133.7448, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8281, predictive_accuracy: 0.792, prior_entropy: 0.9425, recall: 0.792, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8365, scimark_benchmark: 924.8034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.9339, kappa: 0.8553, kb_relative_information_score: 300.2974, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9347, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.5187, scimark_benchmark: 947.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9397, kappa: 0.8679, kb_relative_information_score: 303.5461, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9405, predictive_accuracy: 0.9402, prior_entropy: 0.9425, recall: 0.9402, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5096, scimark_benchmark: 930.7698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 304.1502, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.4953, scimark_benchmark: 946.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9118, kappa: 0.8084, kb_relative_information_score: 268.7096, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9118, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6098, scimark_benchmark: 921.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8937, kappa: 0.7648, kb_relative_information_score: 262.8821, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9058, predictive_accuracy: 0.8974, prior_entropy: 0.9425, recall: 0.8974, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5686, scimark_benchmark: 944.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9194, kappa: 0.8236, kb_relative_information_score: 251.8148, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9203, predictive_accuracy: 0.9202, prior_entropy: 0.9425, recall: 0.9202, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5262, scimark_benchmark: 941.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9282, kappa: 0.8428, kb_relative_information_score: 291.8676, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9289, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5586, scimark_benchmark: 921.8026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 913.8884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7678, kappa: 0.4882, kb_relative_information_score: 133.7448, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8281, predictive_accuracy: 0.792, prior_entropy: 0.9425, recall: 0.792, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8365, scimark_benchmark: 933.96,
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: 0.8644, f_measure: 0.8482, kappa: 0.6652, kb_relative_information_score: 202.1932, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8522, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.4366, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.7015, scimark_benchmark: 946.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9423, kappa: 0.8735, kb_relative_information_score: 307.7743, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9441, predictive_accuracy: 0.943, prior_entropy: 0.9425, recall: 0.943, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.48, scimark_benchmark: 937.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9249, kappa: 0.835, kb_relative_information_score: 251.6793, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9271, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.5193, scimark_benchmark: 945.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9071, kappa: 0.7955, kb_relative_information_score: 258.5653, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9108, predictive_accuracy: 0.9088, prior_entropy: 0.9425, recall: 0.9088, relative_absolute_error: 0.2749, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.274, root_relative_squared_error: 0.5711, scimark_benchmark: 944.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8474, kappa: 0.6628, kb_relative_information_score: 207.7369, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8537, predictive_accuracy: 0.8519, prior_entropy: 0.9425, recall: 0.8519, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.681, scimark_benchmark: 945.2627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9133, kappa: 0.8096, kb_relative_information_score: 254.359, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9154, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.2922, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.257, root_relative_squared_error: 0.5357, scimark_benchmark: 929.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.9336, kappa: 0.8543, kb_relative_information_score: 299.0618, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9356, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5336, scimark_benchmark: 891.2777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8451, kappa: 0.6582, kb_relative_information_score: 208.0603, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8495, predictive_accuracy: 0.849, prior_entropy: 0.9425, recall: 0.849, relative_absolute_error: 0.4143, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6979, scimark_benchmark: 901.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9135, kappa: 0.8103, kb_relative_information_score: 283.7679, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9149, predictive_accuracy: 0.9145, prior_entropy: 0.9425, recall: 0.9145, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5891, scimark_benchmark: 936.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9152, kappa: 0.813, kb_relative_information_score: 285.3092, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9223, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5854, scimark_benchmark: 940.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7311, f_measure: 0.8044, kappa: 0.5669, kb_relative_information_score: 151.5062, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.848, predictive_accuracy: 0.8205, prior_entropy: 0.9425, recall: 0.8205, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7889, scimark_benchmark: 904.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9118, kappa: 0.8084, kb_relative_information_score: 275.0938, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9118, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5995, scimark_benchmark: 942.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8482, kappa: 0.6637, kb_relative_information_score: 235.6653, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8624, predictive_accuracy: 0.8547, prior_entropy: 0.9425, recall: 0.8547, relative_absolute_error: 0.3172, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7934, scimark_benchmark: 929.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 935.5922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.9333, kappa: 0.8533, kb_relative_information_score: 297.5408, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9371, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.5245, scimark_benchmark: 921.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.8844, kappa: 0.7462, kb_relative_information_score: 259.757, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8859, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7026, scimark_benchmark: 933.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9165, kappa: 0.817, kb_relative_information_score: 258.767, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9176, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2805, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2459, root_relative_squared_error: 0.5126, scimark_benchmark: 930.7502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.8945, kappa: 0.7706, kb_relative_information_score: 245.0881, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8944, predictive_accuracy: 0.8946, prior_entropy: 0.9425, recall: 0.8946, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6367, scimark_benchmark: 939.7856,
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: 0.9522, f_measure: 0.8849, kappa: 0.748, kb_relative_information_score: 246.9301, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8854, predictive_accuracy: 0.886, prior_entropy: 0.9425, recall: 0.886, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.5872, scimark_benchmark: 945.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8879, kappa: 0.7547, kb_relative_information_score: 224.2769, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8882, predictive_accuracy: 0.8889, prior_entropy: 0.9425, recall: 0.8889, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.6006, scimark_benchmark: 938.0899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8176, kappa: 0.596, kb_relative_information_score: 183.6232, mean_absolute_error: 0.2321, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8594, predictive_accuracy: 0.8319, prior_entropy: 0.9425, recall: 0.8319, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.7204, scimark_benchmark: 930.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.8736, kappa: 0.7206, kb_relative_information_score: 248.4158, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.882, predictive_accuracy: 0.8775, prior_entropy: 0.9425, recall: 0.8775, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6809, scimark_benchmark: 945.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8736, kappa: 0.7206, kb_relative_information_score: 254.3095, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.882, predictive_accuracy: 0.8775, prior_entropy: 0.9425, recall: 0.8775, relative_absolute_error: 0.265, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.342, root_relative_squared_error: 0.713, scimark_benchmark: 927.3534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9364, kappa: 0.8604, kb_relative_information_score: 301.4864, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9389, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.5161, scimark_benchmark: 935.7901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8149, kappa: 0.5899, kb_relative_information_score: 180.9846, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8541, predictive_accuracy: 0.8291, prior_entropy: 0.9425, recall: 0.8291, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.7165, scimark_benchmark: 946.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9113, kappa: 0.8064, kb_relative_information_score: 251.8998, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9113, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5554, scimark_benchmark: 943.0525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9278, kappa: 0.8416, kb_relative_information_score: 294.5169, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9298, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5536, scimark_benchmark: 942.8518,
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: 0.805, f_measure: 0.8537, kappa: 0.6757, kb_relative_information_score: 239.4398, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8706, predictive_accuracy: 0.8604, prior_entropy: 0.9425, recall: 0.8604, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.7765, scimark_benchmark: 921.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9367, kappa: 0.8614, kb_relative_information_score: 253.5261, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9378, predictive_accuracy: 0.9373, prior_entropy: 0.9425, recall: 0.9373, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4979, scimark_benchmark: 891.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.931, kappa: 0.8488, kb_relative_information_score: 298.0378, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.932, predictive_accuracy: 0.9316, prior_entropy: 0.9425, recall: 0.9316, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.25, root_relative_squared_error: 0.5211, scimark_benchmark: 906.0848,
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: 0.9583, f_measure: 0.9249, kappa: 0.835, kb_relative_information_score: 289.8478, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9271, predictive_accuracy: 0.9259, prior_entropy: 0.9425, recall: 0.9259, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2669, root_relative_squared_error: 0.5563, scimark_benchmark: 942.3391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8921, kappa: 0.7664, kb_relative_information_score: 258.453, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.8927, predictive_accuracy: 0.8917, prior_entropy: 0.9425, recall: 0.8917, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.3105, root_relative_squared_error: 0.6473, scimark_benchmark: 533.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.9099, kappa: 0.8015, kb_relative_information_score: 276.6519, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9142, predictive_accuracy: 0.9117, prior_entropy: 0.9425, recall: 0.9117, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.5791, scimark_benchmark: 937.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9155, kappa: 0.8136, kb_relative_information_score: 272.2197, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9212, predictive_accuracy: 0.9174, prior_entropy: 0.9425, recall: 0.9174, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2388, root_relative_squared_error: 0.4978, scimark_benchmark: 940.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9336, kappa: 0.8543, kb_relative_information_score: 299.9173, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9356, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5251, scimark_benchmark: 576.5204,
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: 0.9245, f_measure: 0.9339, kappa: 0.8553, kb_relative_information_score: 299.283, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9347, predictive_accuracy: 0.9345, prior_entropy: 0.9425, recall: 0.9345, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5307, scimark_benchmark: 941.5601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.9275, kappa: 0.8405, kb_relative_information_score: 291.0247, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.4604, number_of_instances: 351, precision: 0.9312, predictive_accuracy: 0.9288, prior_entropy: 0.9425, recall: 0.9288, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4797, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.5502, scimark_benchmark: 930.5391,

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