OpenML
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 685 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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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,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.5593, kappa: 0.4779, kb_relative_information_score: 16.9309, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.5302, predictive_accuracy: 0.6607, prior_entropy: 2.2353, recall: 0.6607, relative_absolute_error: 1.0621, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3024, root_relative_squared_error: 1.0027, scimark_benchmark: 945.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8534, f_measure: 0.767, kappa: 0.6795, kb_relative_information_score: 220.1787, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7729, predictive_accuracy: 0.7649, prior_entropy: 2.2353, recall: 0.7649, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.8038,
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: 922.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8553, kappa: 0.81, kb_relative_information_score: 256.1835, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8512, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.5682, scimark_benchmark: 909.5016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, 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: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 880.6883,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.7923, kappa: 0.728, kb_relative_information_score: 211.3642, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.782, predictive_accuracy: 0.8065, prior_entropy: 2.2353, recall: 0.8065, relative_absolute_error: 0.377, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6612, scimark_benchmark: 944.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.2541, kb_relative_information_score: 23.9834, mean_absolute_error: 0.1763, 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: 0.9646, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.9675, scimark_benchmark: 886.8148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.864, kappa: 0.8189, kb_relative_information_score: 44.0507, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8607, predictive_accuracy: 0.869, prior_entropy: 2.2353, recall: 0.869, relative_absolute_error: 1.0368, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.9759, scimark_benchmark: 947.2986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8084, kappa: 0.7399, kb_relative_information_score: 36.2858, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8064, predictive_accuracy: 0.8125, prior_entropy: 2.2353, recall: 0.8125, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.9824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8183, kappa: 0.7586, kb_relative_information_score: 234.9486, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8129, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.664, scimark_benchmark: 946.8669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8565, kappa: 0.8105, kb_relative_information_score: 250.5579, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8542, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5664, scimark_benchmark: 949.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8382, kappa: 0.7845, kb_relative_information_score: 230.4174, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8324, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5842, scimark_benchmark: 946.0315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.8183, kappa: 0.7586, kb_relative_information_score: 234.9486, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8129, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.2846, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.664, scimark_benchmark: 922.6453,

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