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Supervised Classification on qsar-biodeg

Supervised Classification on qsar-biodeg

Task 145862 Supervised Classification qsar-biodeg 115390 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8302, kappa: 0.6107, kb_relative_information_score: 342.1046, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8437, predictive_accuracy: 0.8389, prior_entropy: 0.9226, recall: 0.8389, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.7727, scimark_benchmark: 1402.9926, usercpu_time_millis: 3.421, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.7737, kappa: 0.4817, kb_relative_information_score: 257.5159, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7795, predictive_accuracy: 0.7839, prior_entropy: 0.9226, recall: 0.7839, relative_absolute_error: 0.7801, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8328, scimark_benchmark: 1379.2001, usercpu_time_millis: 1.457, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 1.272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.7559, kappa: 0.4513, kb_relative_information_score: 240.009, mean_absolute_error: 0.3535, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7549, predictive_accuracy: 0.7573, prior_entropy: 0.9226, recall: 0.7573, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8642, scimark_benchmark: 1373.1372, usercpu_time_millis: 4.403, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 4.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8509, kappa: 0.6614, kb_relative_information_score: 499.9314, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8525, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.704, scimark_benchmark: 1376.2088, usercpu_time_millis: 11.083, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 10.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8576, kappa: 0.6778, kb_relative_information_score: 515.2952, mean_absolute_error: 0.2418, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.858, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.5406, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6873, scimark_benchmark: 1377.6691, usercpu_time_millis: 9.086, usercpu_time_millis_testing: 0.409, usercpu_time_millis_training: 8.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4971, f_measure: 0.5281, kb_relative_information_score: -0.1822, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1375.1809, usercpu_time_millis: 0.587, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8678, kappa: 0.7017, kb_relative_information_score: 593.9816, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6519, scimark_benchmark: 1378.0192, usercpu_time_millis: 9.97, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 9.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8512, kappa: 0.6624, kb_relative_information_score: 554.2161, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8524, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6707, scimark_benchmark: 1381.9997, usercpu_time_millis: 20.048, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 19.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8575, kappa: 0.6774, kb_relative_information_score: 561.8869, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8581, predictive_accuracy: 0.8597, prior_entropy: 0.9226, recall: 0.8597, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6624, scimark_benchmark: 1379.2581, usercpu_time_millis: 11.195, usercpu_time_millis_testing: 0.422, usercpu_time_millis_training: 10.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.5281, kb_relative_information_score: -0.4573, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1373.4743, usercpu_time_millis: 0.441, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.848, kappa: 0.6561, kb_relative_information_score: 530.3315, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8482, predictive_accuracy: 0.8502, prior_entropy: 0.9226, recall: 0.8502, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6754, scimark_benchmark: 1370.0342, usercpu_time_millis: 4.007, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 3.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8597, kappa: 0.6826, kb_relative_information_score: 526.7973, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6804, scimark_benchmark: 1377.8373, usercpu_time_millis: 16.792, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 16.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8628, kappa: 0.6903, kb_relative_information_score: 546.7639, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.5103, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6683, scimark_benchmark: 1378.5273, usercpu_time_millis: 3.397, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 3.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.8588, kappa: 0.6807, kb_relative_information_score: 589.5635, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.4604, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3091, root_relative_squared_error: 0.6536, scimark_benchmark: 1380.2702, usercpu_time_millis: 12.363, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 12.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.8644, kappa: 0.6933, kb_relative_information_score: 572.7787, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6598, scimark_benchmark: 1371.3322, usercpu_time_millis: 28.285, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 27.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8361, kappa: 0.6276, kb_relative_information_score: 455.9799, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8377, predictive_accuracy: 0.8398, prior_entropy: 0.9226, recall: 0.8398, relative_absolute_error: 0.5955, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7318, scimark_benchmark: 1391.6139, usercpu_time_millis: 15.193, usercpu_time_millis_testing: 0.337, usercpu_time_millis_training: 14.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.8684, kappa: 0.7024, kb_relative_information_score: 563.3817, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8688, predictive_accuracy: 0.8701, prior_entropy: 0.9226, recall: 0.8701, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6593, scimark_benchmark: 1372.6945, usercpu_time_millis: 2.898, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 2.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7716, kappa: 0.4943, kb_relative_information_score: 313.8505, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7746, predictive_accuracy: 0.7697, prior_entropy: 0.9226, recall: 0.7697, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8206, scimark_benchmark: 1379.0032, usercpu_time_millis: 1.931, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8588, kappa: 0.6807, kb_relative_information_score: 599.3138, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.4475, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3098, root_relative_squared_error: 0.6551, scimark_benchmark: 1376.4573, usercpu_time_millis: 40.709, usercpu_time_millis_testing: 1.034, usercpu_time_millis_training: 39.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.841, kappa: 0.6377, kb_relative_information_score: 485.4651, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8445, predictive_accuracy: 0.8455, prior_entropy: 0.9226, recall: 0.8455, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.7057, scimark_benchmark: 1372.6448, usercpu_time_millis: 9.656, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 9.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7698, kappa: 0.4775, kb_relative_information_score: 261.0085, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.769, predictive_accuracy: 0.7744, prior_entropy: 0.9226, recall: 0.7744, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3959, root_relative_squared_error: 0.8372, scimark_benchmark: 1381.7451, usercpu_time_millis: 1.136, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 1.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.845, kappa: 0.6493, kb_relative_information_score: 479.9027, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8453, predictive_accuracy: 0.8474, prior_entropy: 0.9226, recall: 0.8474, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7048, scimark_benchmark: 1381.0106, usercpu_time_millis: 5.447, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 5.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8416, kappa: 0.6387, kb_relative_information_score: 464.2424, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.846, predictive_accuracy: 0.8464, prior_entropy: 0.9226, recall: 0.8464, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.711, scimark_benchmark: 1377.0821, usercpu_time_millis: 6.912, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 6.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.7301, kappa: 0.3796, kb_relative_information_score: 179.0049, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7458, predictive_accuracy: 0.7507, prior_entropy: 0.9226, recall: 0.7507, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8836, scimark_benchmark: 1376.9938, usercpu_time_millis: 0.282, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8524, kappa: 0.6644, kb_relative_information_score: 502.7492, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8549, predictive_accuracy: 0.8559, prior_entropy: 0.9226, recall: 0.8559, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.7093, scimark_benchmark: 1370.0765, usercpu_time_millis: 8.084, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 7.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.8718, kappa: 0.7112, kb_relative_information_score: 591.3392, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8717, predictive_accuracy: 0.873, prior_entropy: 0.9226, recall: 0.873, relative_absolute_error: 0.4598, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6499, scimark_benchmark: 1370.5136, usercpu_time_millis: 14.146, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 13.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8443, kappa: 0.6446, kb_relative_information_score: 458.3206, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8494, predictive_accuracy: 0.8493, prior_entropy: 0.9226, recall: 0.8493, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.7154, scimark_benchmark: 1367.4555, usercpu_time_millis: 1.912, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 1.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.7884, kappa: 0.5157, kb_relative_information_score: 305.24, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7939, predictive_accuracy: 0.7972, prior_entropy: 0.9226, recall: 0.7972, relative_absolute_error: 0.7389, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.8034, scimark_benchmark: 1372.3792, usercpu_time_millis: 2.214, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 1.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8629, kappa: 0.6922, kb_relative_information_score: 611.6184, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8626, predictive_accuracy: 0.8635, prior_entropy: 0.9226, recall: 0.8635, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6632, scimark_benchmark: 1367.7907, usercpu_time_millis: 47.768, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 46.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8216, kappa: 0.5929, kb_relative_information_score: 427.1082, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8258, predictive_accuracy: 0.8275, prior_entropy: 0.9226, recall: 0.8275, relative_absolute_error: 0.6243, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7396, scimark_benchmark: 1372.966, usercpu_time_millis: 1.69, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 1.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8681, kappa: 0.703, kb_relative_information_score: 597.9835, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8679, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3067, root_relative_squared_error: 0.6486, scimark_benchmark: 1377.7868, usercpu_time_millis: 34.837, usercpu_time_millis_testing: 0.94, usercpu_time_millis_training: 33.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8379, kappa: 0.6315, kb_relative_information_score: 465.1849, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8398, predictive_accuracy: 0.8417, prior_entropy: 0.9226, recall: 0.8417, relative_absolute_error: 0.5891, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3396, root_relative_squared_error: 0.7182, scimark_benchmark: 1380.7689, usercpu_time_millis: 0.382, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8481, kappa: 0.6541, kb_relative_information_score: 489.9204, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8513, predictive_accuracy: 0.8521, prior_entropy: 0.9226, recall: 0.8521, relative_absolute_error: 0.5638, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7098, scimark_benchmark: 1380.096, usercpu_time_millis: 10.128, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 9.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8508, kappa: 0.6609, kb_relative_information_score: 492.5109, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8526, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.5608, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.7107, scimark_benchmark: 1372.554, usercpu_time_millis: 3.571, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 3.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8414, kappa: 0.6381, kb_relative_information_score: 462.506, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 0.9226, recall: 0.8464, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.7113, scimark_benchmark: 1384.8145, usercpu_time_millis: 4.06, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 3.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.86, kappa: 0.684, kb_relative_information_score: 595.5487, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4511, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6559, scimark_benchmark: 1373.5431, usercpu_time_millis: 27.005, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 26.426,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8042, kappa: 0.5552, kb_relative_information_score: 387.9256, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8047, predictive_accuracy: 0.8085, prior_entropy: 0.9226, recall: 0.8085, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7691, scimark_benchmark: 1375.5869, usercpu_time_millis: 1.601, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.8575, kappa: 0.6807, kb_relative_information_score: 614.588, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8573, predictive_accuracy: 0.8578, prior_entropy: 0.9226, recall: 0.8578, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.6764, scimark_benchmark: 1380.6131, usercpu_time_millis: 25.852, usercpu_time_millis_testing: 0.646, usercpu_time_millis_training: 25.206,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8513, kappa: 0.6629, kb_relative_information_score: 498.386, mean_absolute_error: 0.2495, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8523, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6952, scimark_benchmark: 1376.4511, usercpu_time_millis: 7.211, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 6.762,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8594, kappa: 0.6817, kb_relative_information_score: 556.0847, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4974, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6676, scimark_benchmark: 1379.4602, usercpu_time_millis: 22.084, usercpu_time_millis_testing: 0.577, usercpu_time_millis_training: 21.507,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8657, kappa: 0.6965, kb_relative_information_score: 576.1807, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3089, root_relative_squared_error: 0.6532, scimark_benchmark: 1375.9236, usercpu_time_millis: 28.023, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 27.147,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8594, kappa: 0.6817, kb_relative_information_score: 534.1866, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.6794, scimark_benchmark: 1375.8233, usercpu_time_millis: 10.525, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 10.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8597, kappa: 0.6826, kb_relative_information_score: 579.4259, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.86, predictive_accuracy: 0.8616, prior_entropy: 0.9226, recall: 0.8616, relative_absolute_error: 0.4744, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6515, scimark_benchmark: 1371.4752, usercpu_time_millis: 14.968, usercpu_time_millis_testing: 0.574, usercpu_time_millis_training: 14.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8143, kappa: 0.5773, kb_relative_information_score: 409.2073, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8158, predictive_accuracy: 0.819, prior_entropy: 0.9226, recall: 0.819, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.757, scimark_benchmark: 1374.3175, usercpu_time_millis: 8.42, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 8.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8499, kappa: 0.659, kb_relative_information_score: 508.7161, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8516, predictive_accuracy: 0.8531, prior_entropy: 0.9226, recall: 0.8531, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.699, scimark_benchmark: 1374.2523, usercpu_time_millis: 8.876, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 8.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8417, kappa: 0.641, kb_relative_information_score: 464.9989, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8424, predictive_accuracy: 0.8446, prior_entropy: 0.9226, recall: 0.8446, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.339, root_relative_squared_error: 0.717, scimark_benchmark: 1371.6716, usercpu_time_millis: 0.789, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.7948, kappa: 0.5354, kb_relative_information_score: 354.4486, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7942, predictive_accuracy: 0.7981, prior_entropy: 0.9226, recall: 0.7981, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7889, scimark_benchmark: 1371.9041, usercpu_time_millis: 12.845, usercpu_time_millis_testing: 0.508, usercpu_time_millis_training: 12.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8454, kappa: 0.6492, kb_relative_information_score: 482.2175, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8464, predictive_accuracy: 0.8483, prior_entropy: 0.9226, recall: 0.8483, relative_absolute_error: 0.5727, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.7065, scimark_benchmark: 1368.7319, usercpu_time_millis: 4.711, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 4.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8586, kappa: 0.6802, kb_relative_information_score: 561.6139, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.859, predictive_accuracy: 0.8607, prior_entropy: 0.9226, recall: 0.8607, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6756, scimark_benchmark: 1375.9933, usercpu_time_millis: 23.08, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 22.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5281, kb_relative_information_score: -0.0258, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1387.1136, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8677, kappa: 0.7013, kb_relative_information_score: 576.7296, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8678, predictive_accuracy: 0.8692, prior_entropy: 0.9226, recall: 0.8692, relative_absolute_error: 0.4769, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6542, scimark_benchmark: 1379.921, usercpu_time_millis: 14.643, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 14.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8697, kappa: 0.706, kb_relative_information_score: 605.7142, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8697, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.444, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6475, scimark_benchmark: 1374.3563, usercpu_time_millis: 24.796, usercpu_time_millis_testing: 1.293, usercpu_time_millis_training: 23.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8533, kappa: 0.6663, kb_relative_information_score: 486.1612, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.856, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.7102, scimark_benchmark: 1396.5027, usercpu_time_millis: 5.574, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 5.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.5281, kb_relative_information_score: 112.0901, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9161, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9225, scimark_benchmark: 1389.2214, usercpu_time_millis: 1.575, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 1.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8334, kappa: 0.6205, kb_relative_information_score: 437.7222, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8362, predictive_accuracy: 0.8379, prior_entropy: 0.9226, recall: 0.8379, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3482, root_relative_squared_error: 0.7365, scimark_benchmark: 1376.0955, usercpu_time_millis: 0.371, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8657, kappa: 0.6965, kb_relative_information_score: 600.6816, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8658, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6469, scimark_benchmark: 1380.8258, usercpu_time_millis: 17.524, usercpu_time_millis_testing: 0.823, usercpu_time_millis_training: 16.701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8651, kappa: 0.6944, kb_relative_information_score: 542.5969, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.866, predictive_accuracy: 0.8673, prior_entropy: 0.9226, recall: 0.8673, relative_absolute_error: 0.511, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6772, scimark_benchmark: 1374.533, usercpu_time_millis: 21.334, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 20.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8454, kappa: 0.6482, kb_relative_information_score: 498.2384, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8481, predictive_accuracy: 0.8493, prior_entropy: 0.9226, recall: 0.8493, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.7025, scimark_benchmark: 1373.7143, usercpu_time_millis: 4.882, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 4.739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8403, kappa: 0.6356, kb_relative_information_score: 454.4241, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8453, predictive_accuracy: 0.8455, prior_entropy: 0.9226, recall: 0.8455, relative_absolute_error: 0.6031, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.7152, scimark_benchmark: 1383.9433, usercpu_time_millis: 2.137, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.7764, kappa: 0.4903, kb_relative_information_score: 276.4688, mean_absolute_error: 0.3394, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7774, predictive_accuracy: 0.7829, prior_entropy: 0.9226, recall: 0.7829, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.825, scimark_benchmark: 1382.7882, usercpu_time_millis: 3.195, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.903,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.5281, kb_relative_information_score: -0.3792, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1376.643, usercpu_time_millis: 0.638, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8641, kappa: 0.6935, kb_relative_information_score: 606.9121, mean_absolute_error: 0.1972, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8639, predictive_accuracy: 0.8654, prior_entropy: 0.9226, recall: 0.8654, relative_absolute_error: 0.441, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6506, scimark_benchmark: 1373.126, usercpu_time_millis: 17.134, usercpu_time_millis_testing: 0.753, usercpu_time_millis_training: 16.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8649, kappa: 0.695, kb_relative_information_score: 596.9359, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4535, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6504, scimark_benchmark: 1370.9917, usercpu_time_millis: 11.714, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 11.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8541, kappa: 0.6692, kb_relative_information_score: 545.4246, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8553, predictive_accuracy: 0.8569, prior_entropy: 0.9226, recall: 0.8569, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6659, scimark_benchmark: 1373.5299, usercpu_time_millis: 11.11, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 10.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8239, kappa: 0.6014, kb_relative_information_score: 409.6248, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8237, predictive_accuracy: 0.8265, prior_entropy: 0.9226, recall: 0.8265, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7531, scimark_benchmark: 1373.606, usercpu_time_millis: 9.388, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 8.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8509, kappa: 0.6614, kb_relative_information_score: 511.3, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8525, predictive_accuracy: 0.854, prior_entropy: 0.9226, recall: 0.854, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.689, scimark_benchmark: 1373.7689, usercpu_time_millis: 5.676, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 5.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.5281, kb_relative_information_score: -0.1365, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1373.0824, usercpu_time_millis: 2.182, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7682, kappa: 0.4788, kb_relative_information_score: 255.832, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.7672, predictive_accuracy: 0.7697, prior_entropy: 0.9226, recall: 0.7697, relative_absolute_error: 0.7712, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.8431, scimark_benchmark: 1370.5688, usercpu_time_millis: 2.564, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 2.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5281, kb_relative_information_score: 0.083, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.439, predictive_accuracy: 0.6626, prior_entropy: 0.9226, recall: 0.6626, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.4728, root_relative_squared_error: 1, scimark_benchmark: 1373.4202, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8645, kappa: 0.6937, kb_relative_information_score: 578.9308, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8649, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3085, root_relative_squared_error: 0.6525, scimark_benchmark: 1871.5019, usercpu_time_millis: 23.143, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 22.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8646, kappa: 0.6942, kb_relative_information_score: 562.2636, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8648, predictive_accuracy: 0.8664, prior_entropy: 0.9226, recall: 0.8664, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6594, scimark_benchmark: 1862.82, usercpu_time_millis: 15.385, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 14.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8696, kappa: 0.7056, kb_relative_information_score: 601.2282, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8697, predictive_accuracy: 0.8711, prior_entropy: 0.9226, recall: 0.8711, relative_absolute_error: 0.4497, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.647, scimark_benchmark: 1867.9854, usercpu_time_millis: 15.085, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 14.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.8616, kappa: 0.6886, kb_relative_information_score: 604.6926, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8612, predictive_accuracy: 0.8626, prior_entropy: 0.9226, recall: 0.8626, relative_absolute_error: 0.4365, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.666, scimark_benchmark: 1866.4619, usercpu_time_millis: 13.828, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 13.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8626, kappa: 0.6894, kb_relative_information_score: 535.8733, mean_absolute_error: 0.2329, mean_prior_absolute_error: 0.4472, number_of_instances: 1055, precision: 0.8629, predictive_accuracy: 0.8645, prior_entropy: 0.9226, recall: 0.8645, relative_absolute_error: 0.5207, root_mean_prior_squared_error: 0.4728, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6758, scimark_benchmark: 1752.9746, usercpu_time_millis: 11.723, usercpu_time_millis_testing: 0.46, usercpu_time_millis_training: 11.263,

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

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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