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OpenML
OpenML
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_7 under100k under1m
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685 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.816, kappa: 0.7536, kb_relative_information_score: 243.3753, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8169, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.3056, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5847, scimark_benchmark: 923.2239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 926.2004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 941.6231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8597, kappa: 0.8143, kb_relative_information_score: 247.0298, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8543, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.2991, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5506, scimark_benchmark: 941.1443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.821, kappa: 0.7625, kb_relative_information_score: 229.7354, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8165, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.3054, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.655, scimark_benchmark: 914.4131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7694, kappa: 0.6856, kb_relative_information_score: 216.0932, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7704, predictive_accuracy: 0.7708, prior_entropy: 2.2353, recall: 0.7708, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.7936, scimark_benchmark: 928.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8749, f_measure: 0.8052, kappa: 0.7271, kb_relative_information_score: 234.1518, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.812, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.7403, scimark_benchmark: 915.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8447, kappa: 0.7902, kb_relative_information_score: 256.2785, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8431, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.6424, scimark_benchmark: 944.6179,
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: 0.9445, f_measure: 0.8516, kappa: 0.8022, kb_relative_information_score: 259.0346, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8469, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.1907, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6013, scimark_benchmark: 937.1205,
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: 0.918, f_measure: 0.8518, kappa: 0.805, kb_relative_information_score: 256.8686, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8488, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6194, scimark_benchmark: 903.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8475, kappa: 0.7952, kb_relative_information_score: 243.0121, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8451, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5799, scimark_benchmark: 896.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.8509, kappa: 0.8021, kb_relative_information_score: 258.9136, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8491, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6227, scimark_benchmark: 939.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.6218, kappa: 0.5307, kb_relative_information_score: 165.0926, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.618, predictive_accuracy: 0.6726, prior_entropy: 2.2353, recall: 0.6726, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.8313, scimark_benchmark: 982.9244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8651, kappa: 0.8194, kb_relative_information_score: 258.4319, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8645, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.2475, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5389, scimark_benchmark: 916.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 932.4519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8458, kappa: 0.7946, kb_relative_information_score: 249.896, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.841, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2734, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5614, scimark_benchmark: 927.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 231.0104, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7366, scimark_benchmark: 926.2303,
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: 0.8717, f_measure: 0.6256, kappa: 0.538, kb_relative_information_score: 168.093, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6286, predictive_accuracy: 0.6786, prior_entropy: 2.2353, recall: 0.6786, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.823, scimark_benchmark: 946.3968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7686, f_measure: 0.5111, kappa: 0.4475, kb_relative_information_score: 126.4656, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4229, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 928.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 943.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.846, kappa: 0.7938, kb_relative_information_score: 253.6242, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8421, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2057, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6401, scimark_benchmark: 926.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.5111, kappa: 0.4485, kb_relative_information_score: 159.3764, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6291, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.7735, scimark_benchmark: 943.3906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8317, kappa: 0.7728, kb_relative_information_score: 242.4576, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8304, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.6193, scimark_benchmark: 928.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.511, kappa: 0.448, kb_relative_information_score: 157.4057, mean_absolute_error: 0.1174, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.7764, scimark_benchmark: 929.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8477, kappa: 0.8009, kb_relative_information_score: 206.7121, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5909, scimark_benchmark: 937.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8064, kappa: 0.7376, kb_relative_information_score: 241.651, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8038, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.618, scimark_benchmark: 942.2454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8446, kappa: 0.7942, kb_relative_information_score: 237.5091, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8395, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.3296, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5647, scimark_benchmark: 912.7411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8477, kappa: 0.8009, kb_relative_information_score: 206.7121, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5909, scimark_benchmark: 920.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8009, kappa: 0.7454, kb_relative_information_score: 189.9585, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8007, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6471, scimark_benchmark: 939.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.511, kappa: 0.448, kb_relative_information_score: 160.0808, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.6322, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.232, root_relative_squared_error: 0.7692, scimark_benchmark: 869.6689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.7882, kappa: 0.738, kb_relative_information_score: 198.4261, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8037, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.6702, scimark_benchmark: 939.3824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8509, kappa: 0.8023, kb_relative_information_score: 258.8426, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.848, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.1938, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.622, scimark_benchmark: 946.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 926.093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.838, kappa: 0.7829, kb_relative_information_score: 246.6742, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8339, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.2698, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.187, root_relative_squared_error: 0.6199, scimark_benchmark: 916.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.8422, kappa: 0.7901, kb_relative_information_score: 255.3478, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8379, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.6422, scimark_benchmark: 935.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8441, kappa: 0.7902, kb_relative_information_score: 256.415, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8405, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2103, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6076, scimark_benchmark: 934.7235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 917.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8383, kappa: 0.783, kb_relative_information_score: 247.6609, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8347, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6209, scimark_benchmark: 929.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8491, kappa: 0.7979, kb_relative_information_score: 255.2336, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8448, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2027, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6334, scimark_benchmark: 944.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.8508, kappa: 0.8026, kb_relative_information_score: 249.1169, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.845, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.162, root_relative_squared_error: 0.5371, scimark_benchmark: 942.5619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8595, kappa: 0.8116, kb_relative_information_score: 258.4133, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8611, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.54, scimark_benchmark: 944.5977,
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: 0.9514, f_measure: 0.8485, kappa: 0.7981, kb_relative_information_score: 250.8985, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8448, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.5904, scimark_benchmark: 942.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8403, kappa: 0.7885, kb_relative_information_score: 243.6496, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8356, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.563, scimark_benchmark: 946.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 920.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.822, kappa: 0.7637, kb_relative_information_score: 247.2459, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8172, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.2241, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.6495, scimark_benchmark: 947.1291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8106, kappa: 0.7437, kb_relative_information_score: 225.7993, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6638, scimark_benchmark: 922.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.8019, kappa: 0.7298, kb_relative_information_score: 238.6703, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8017, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.194, root_relative_squared_error: 0.6432, scimark_benchmark: 926.7152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8786, kappa: 0.8394, kb_relative_information_score: 252.063, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8743, predictive_accuracy: 0.8839, prior_entropy: 2.2353, recall: 0.8839, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.162, root_relative_squared_error: 0.537, scimark_benchmark: 918.5335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.8697, kappa: 0.8268, kb_relative_information_score: 243.6788, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8652, predictive_accuracy: 0.875, prior_entropy: 2.2353, recall: 0.875, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.5507, scimark_benchmark: 944.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 904.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8477, kappa: 0.8009, kb_relative_information_score: 206.7121, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5909, scimark_benchmark: 923.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 947.9902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8526, kappa: 0.8054, kb_relative_information_score: 259.1515, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8486, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.6105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8623, kappa: 0.8179, kb_relative_information_score: 261.516, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8585, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 0.1811, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6015, scimark_benchmark: 929.9216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8214, kappa: 0.7607, kb_relative_information_score: 243.403, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8184, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.2954, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.585, scimark_benchmark: 933.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 231.0104, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7366, scimark_benchmark: 916.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.7694, kappa: 0.6856, kb_relative_information_score: 216.0932, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7704, predictive_accuracy: 0.7708, prior_entropy: 2.2353, recall: 0.7708, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.7936, scimark_benchmark: 934.0584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.858, kappa: 0.811, kb_relative_information_score: 257.18, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.853, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2081, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.6107, scimark_benchmark: 940.8431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.8526, kappa: 0.8031, kb_relative_information_score: 258.1804, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8489, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.6197, scimark_benchmark: 947.2721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8009, kappa: 0.7454, kb_relative_information_score: 189.9585, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8007, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1952, root_relative_squared_error: 0.6471, scimark_benchmark: 946.5027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.7344, kappa: 0.6738, kb_relative_information_score: 183.4773, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7236, predictive_accuracy: 0.7679, prior_entropy: 2.2353, recall: 0.7679, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.682, scimark_benchmark: 939.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8456, kappa: 0.8005, kb_relative_information_score: 42.9932, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8517, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9764, scimark_benchmark: 943.3953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8345, kappa: 0.7778, kb_relative_information_score: 252.6172, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8301, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.2181, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1904, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8443, kappa: 0.791, kb_relative_information_score: 241.9712, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8416, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5774, scimark_benchmark: 945.0968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.6489, kappa: 0.5506, kb_relative_information_score: 48.1983, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6352, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.276, root_relative_squared_error: 0.915, scimark_benchmark: 916.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.8536, kappa: 0.8092, kb_relative_information_score: 258.1878, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8494, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.1871, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.814, kappa: 0.746, kb_relative_information_score: 240.4471, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.813, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.2895, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6269, scimark_benchmark: 909.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8383, kappa: 0.783, kb_relative_information_score: 247.6609, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8347, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6209, scimark_benchmark: 937.8672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8573, kappa: 0.8104, kb_relative_information_score: 246.3961, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8522, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3009, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5532, scimark_benchmark: 921.9685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8595, kappa: 0.8116, kb_relative_information_score: 258.4133, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8611, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2469, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.54, scimark_benchmark: 943.5638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 928.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8091, f_measure: 0.6552, kappa: 0.5345, kb_relative_information_score: 22.1275, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6989, predictive_accuracy: 0.6875, prior_entropy: 2.2353, recall: 0.6875, relative_absolute_error: 1.0585, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.999, scimark_benchmark: 910.0632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.83, kappa: 0.7749, kb_relative_information_score: 236.0561, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8282, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1712, root_relative_squared_error: 0.5676, scimark_benchmark: 946.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8633, kappa: 0.8186, kb_relative_information_score: 43.3916, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8608, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.9765, scimark_benchmark: 948.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.7836, kappa: 0.7186, kb_relative_information_score: 208.5293, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7748, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6654, scimark_benchmark: 946.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 947.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8499, kappa: 0.8007, kb_relative_information_score: 35.3251, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.849, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 1.0409, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2959, root_relative_squared_error: 0.9812, scimark_benchmark: 944.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8122, kappa: 0.7497, kb_relative_information_score: 229.5563, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8076, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.305, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1985, root_relative_squared_error: 0.6582, scimark_benchmark: 939.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8717, kappa: 0.8306, kb_relative_information_score: 38.3531, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8669, predictive_accuracy: 0.878, prior_entropy: 2.2353, recall: 0.878, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.295, root_relative_squared_error: 0.9782, scimark_benchmark: 942.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8442, kappa: 0.7898, kb_relative_information_score: 251.8922, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8407, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.6015, scimark_benchmark: 947.1211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8701, kappa: 0.8272, kb_relative_information_score: 45.6952, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8696, predictive_accuracy: 0.875, prior_entropy: 2.2353, recall: 0.875, relative_absolute_error: 1.0355, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.9755, scimark_benchmark: 941.3506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.8596, kappa: 0.8146, kb_relative_information_score: 251.8613, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8543, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.5331, scimark_benchmark: 939.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.2541, kb_relative_information_score: -0.5249, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.2541, kb_relative_information_score: -0.5249, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3098, root_relative_squared_error: 1.027, scimark_benchmark: 947.8279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8695, kappa: 0.8269, kb_relative_information_score: 40.8945, mean_absolute_error: 0.1897, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8677, predictive_accuracy: 0.875, prior_entropy: 2.2353, recall: 0.875, relative_absolute_error: 1.0376, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.9776, scimark_benchmark: 947.3305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.775, kappa: 0.6944, kb_relative_information_score: -5.5022, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7843, predictive_accuracy: 0.7887, prior_entropy: 2.2353, recall: 0.7887, relative_absolute_error: 1.159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3204, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.6976, kappa: 0.6723, kb_relative_information_score: 28.5844, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6403, predictive_accuracy: 0.7738, prior_entropy: 2.2353, recall: 0.7738, relative_absolute_error: 1.0489, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9893, scimark_benchmark: 947.8747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.8497, kappa: 0.8012, kb_relative_information_score: 247.2695, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8455, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.5565, scimark_benchmark: 945.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8714, kappa: 0.8306, kb_relative_information_score: 37.144, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8663, predictive_accuracy: 0.878, prior_entropy: 2.2353, recall: 0.878, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9788, scimark_benchmark: 944.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8338, kappa: 0.7794, kb_relative_information_score: 236.7222, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8321, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5659, scimark_benchmark: 947.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8663, kappa: 0.823, kb_relative_information_score: 45.4939, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8623, predictive_accuracy: 0.872, prior_entropy: 2.2353, recall: 0.872, relative_absolute_error: 1.0358, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9752, scimark_benchmark: 873.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8489, kappa: 0.8011, kb_relative_information_score: 248.3799, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8446, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.5694, scimark_benchmark: 948.9032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.8097, kappa: 0.7462, kb_relative_information_score: 231.3125, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8047, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2974, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.668, scimark_benchmark: 949.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8245, kappa: 0.7648, kb_relative_information_score: 243.9293, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8204, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.195, root_relative_squared_error: 0.6466, scimark_benchmark: 944.799,

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