Task
Supervised Classification on fri_c3_500_10

Supervised Classification on fri_c3_500_10

Task 4504 Supervised Classification fri_c3_500_10 219 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8395, kappa: 0.6759, kb_relative_information_score: 2931.254, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6497, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1336.4701, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8798, kappa: 0.7577, kb_relative_information_score: 3120.3506, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8798, predictive_accuracy: 0.8798, prior_entropy: 0.9945, recall: 0.8798, relative_absolute_error: 0.4061, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3021, root_relative_squared_error: 0.6066, scimark_benchmark: 1292.1745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8623, kappa: 0.7222, kb_relative_information_score: 3135.692, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8623, predictive_accuracy: 0.8624, prior_entropy: 0.9945, recall: 0.8624, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6726, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7467, kappa: 0.4895, kb_relative_information_score: 2437.4619, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.7467, predictive_accuracy: 0.7466, prior_entropy: 0.9945, recall: 0.7466, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0107, scimark_benchmark: 1348.2804, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1327.6367, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8544, kappa: 0.7062, kb_relative_information_score: 3085.5579, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8545, predictive_accuracy: 0.8546, prior_entropy: 0.9945, recall: 0.8546, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6803, scimark_benchmark: 1334.6623, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7467, kappa: 0.4895, kb_relative_information_score: 2437.4619, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.7467, predictive_accuracy: 0.7466, prior_entropy: 0.9945, recall: 0.7466, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0107, scimark_benchmark: 1260.1387, usercpu_time_millis: 80, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7467, kappa: 0.4895, kb_relative_information_score: 2437.4619, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.7467, predictive_accuracy: 0.7466, prior_entropy: 0.9945, recall: 0.7466, relative_absolute_error: 0.5107, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0107, scimark_benchmark: 938.0414, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8544, kappa: 0.7062, kb_relative_information_score: 3085.5579, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8545, predictive_accuracy: 0.8546, prior_entropy: 0.9945, recall: 0.8546, relative_absolute_error: 0.406, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.6803, scimark_benchmark: 940.3347, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8623, kappa: 0.7222, kb_relative_information_score: 3135.692, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8623, predictive_accuracy: 0.8624, prior_entropy: 0.9945, recall: 0.8624, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6726, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1335.5424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8395, kappa: 0.6759, kb_relative_information_score: 2931.254, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6497, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1312.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8485, kappa: 0.6948, kb_relative_information_score: 2476.0597, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8486, predictive_accuracy: 0.8484, prior_entropy: 0.9945, recall: 0.8484, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.691, scimark_benchmark: 1337.7947, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.8395, kappa: 0.6759, kb_relative_information_score: 2931.254, mean_absolute_error: 0.2167, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8403, predictive_accuracy: 0.84, prior_entropy: 0.9945, recall: 0.84, relative_absolute_error: 0.4368, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6497, scimark_benchmark: 1313.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9047, kappa: 0.8078, kb_relative_information_score: 3186.191, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.9048, predictive_accuracy: 0.9048, prior_entropy: 0.9945, recall: 0.9048, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5595, scimark_benchmark: 1357.5655, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.8511, kappa: 0.6992, kb_relative_information_score: 3002.8942, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8549, predictive_accuracy: 0.8522, prior_entropy: 0.9945, recall: 0.8522, relative_absolute_error: 0.4223, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6417, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.6379, kappa: 0.2689, kb_relative_information_score: 1351.4611, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.6378, predictive_accuracy: 0.6392, prior_entropy: 0.9945, recall: 0.6392, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6007, root_relative_squared_error: 1.206, scimark_benchmark: 1301.1661, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8485, kappa: 0.6948, kb_relative_information_score: 2476.0597, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8486, predictive_accuracy: 0.8484, prior_entropy: 0.9945, recall: 0.8484, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.691, scimark_benchmark: 1340.1351, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8716, kappa: 0.7411, kb_relative_information_score: 3491.8398, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8716, predictive_accuracy: 0.8716, prior_entropy: 0.9945, recall: 0.8716, relative_absolute_error: 0.3138, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6864, scimark_benchmark: 1151.6869, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.6877, kappa: 0.3722, kb_relative_information_score: 884.9871, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.689, predictive_accuracy: 0.6872, prior_entropy: 0.9945, recall: 0.6872, relative_absolute_error: 0.8528, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9312, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8623, kappa: 0.7222, kb_relative_information_score: 3135.692, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8623, predictive_accuracy: 0.8624, prior_entropy: 0.9945, recall: 0.8624, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6726, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8573, kappa: 0.7123, kb_relative_information_score: 2989.6443, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8573, predictive_accuracy: 0.8574, prior_entropy: 0.9945, recall: 0.8574, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6585, scimark_benchmark: 892.0148, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.6195, kappa: 0.2329, kb_relative_information_score: 706.5373, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.6194, predictive_accuracy: 0.6196, prior_entropy: 0.9945, recall: 0.6196, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4874, root_relative_squared_error: 0.9787, scimark_benchmark: 894.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8813, kappa: 0.7605, kb_relative_information_score: 2117.0791, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8818, predictive_accuracy: 0.8816, prior_entropy: 0.9945, recall: 0.8816, relative_absolute_error: 0.6336, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.346, root_relative_squared_error: 0.6948, scimark_benchmark: 1342.2985, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8697, kappa: 0.7369, kb_relative_information_score: 2068.503, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8702, predictive_accuracy: 0.87, prior_entropy: 0.9945, recall: 0.87, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7066, scimark_benchmark: 1347.5461, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.883, kappa: 0.7638, kb_relative_information_score: 2118.8911, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8833, predictive_accuracy: 0.8832, prior_entropy: 0.9945, recall: 0.8832, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.694, scimark_benchmark: 932.5646, usercpu_time_millis: 440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.756, kappa: 0.5085, kb_relative_information_score: 2530.4899, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.7562, predictive_accuracy: 0.7558, prior_entropy: 0.9945, recall: 0.7558, relative_absolute_error: 0.4922, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4942, root_relative_squared_error: 0.9922, scimark_benchmark: 833.3193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8761, kappa: 0.7499, kb_relative_information_score: 2098.9646, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8767, predictive_accuracy: 0.8764, prior_entropy: 0.9945, recall: 0.8764, relative_absolute_error: 0.6363, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.6989, scimark_benchmark: 1331.2332, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8623, kappa: 0.7222, kb_relative_information_score: 3135.692, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8623, predictive_accuracy: 0.8624, prior_entropy: 0.9945, recall: 0.8624, relative_absolute_error: 0.3952, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.335, root_relative_squared_error: 0.6726, scimark_benchmark: 1151.3336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.8485, kappa: 0.6948, kb_relative_information_score: 2476.0597, mean_absolute_error: 0.2685, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8486, predictive_accuracy: 0.8484, prior_entropy: 0.9945, recall: 0.8484, relative_absolute_error: 0.5411, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3442, root_relative_squared_error: 0.691, scimark_benchmark: 1334.2049, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.6904, kappa: 0.375, kb_relative_information_score: 986.7723, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.6903, predictive_accuracy: 0.6912, prior_entropy: 0.9945, recall: 0.6912, relative_absolute_error: 0.8281, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9068, scimark_benchmark: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8879, kappa: 0.7738, kb_relative_information_score: 3867.2618, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.888, predictive_accuracy: 0.888, prior_entropy: 0.9945, recall: 0.888, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6719, scimark_benchmark: 1386.5717, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8508, kappa: 0.6989, kb_relative_information_score: 1984.1239, mean_absolute_error: 0.3247, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8513, predictive_accuracy: 0.8512, prior_entropy: 0.9945, recall: 0.8512, relative_absolute_error: 0.6544, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7252, scimark_benchmark: 860.584, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8763, kappa: 0.7506, kb_relative_information_score: 3159.697, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8763, predictive_accuracy: 0.8764, prior_entropy: 0.9945, recall: 0.8764, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.5867, scimark_benchmark: 1335.4072, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.885, kappa: 0.7683, kb_relative_information_score: 3126.7233, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.885, predictive_accuracy: 0.885, prior_entropy: 0.9945, recall: 0.885, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.5887, scimark_benchmark: 924.1296, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8844, kappa: 0.767, kb_relative_information_score: 3132.0039, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8844, predictive_accuracy: 0.8844, prior_entropy: 0.9945, recall: 0.8844, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.5892, scimark_benchmark: 942.6843, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.882, kappa: 0.7622, kb_relative_information_score: 3128.5776, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 0.9945, recall: 0.882, relative_absolute_error: 0.4071, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.5947, scimark_benchmark: 895.5332, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8586, kappa: 0.7148, kb_relative_information_score: 3349.4701, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8585, predictive_accuracy: 0.8586, prior_entropy: 0.9945, recall: 0.8586, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7149, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8932, kappa: 0.7847, kb_relative_information_score: 3655.4877, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8932, predictive_accuracy: 0.8932, prior_entropy: 0.9945, recall: 0.8932, relative_absolute_error: 0.2821, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2725, root_relative_squared_error: 0.5472, scimark_benchmark: 912.5006, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8832, kappa: 0.7646, kb_relative_information_score: 3413.8038, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8832, predictive_accuracy: 0.8832, prior_entropy: 0.9945, recall: 0.8832, relative_absolute_error: 0.3376, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.5664, scimark_benchmark: 1324.8395, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8644, kappa: 0.7267, kb_relative_information_score: 3055.8436, mean_absolute_error: 0.2066, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8644, predictive_accuracy: 0.8644, prior_entropy: 0.9945, recall: 0.8644, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6123, scimark_benchmark: 933.3136, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8384, kappa: 0.6739, kb_relative_information_score: 2646.0803, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8385, predictive_accuracy: 0.8386, prior_entropy: 0.9945, recall: 0.8386, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.6724, scimark_benchmark: 916.6405, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8228, kappa: 0.6429, kb_relative_information_score: 2043.1874, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8228, predictive_accuracy: 0.8228, prior_entropy: 0.9945, recall: 0.8228, relative_absolute_error: 0.6323, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7536, scimark_benchmark: 1335.643, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.7154, kappa: 0.4256, kb_relative_information_score: 1441.1778, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.7152, predictive_accuracy: 0.7158, prior_entropy: 0.9945, recall: 0.7158, relative_absolute_error: 0.7325, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.89, scimark_benchmark: 1313.9994, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.7048, kappa: 0.4049, kb_relative_information_score: 1524.2218, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.7048, predictive_accuracy: 0.7048, prior_entropy: 0.9945, recall: 0.7048, relative_absolute_error: 0.7071, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9321, scimark_benchmark: 942.9518, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5745, f_measure: 0.5774, kappa: 0.1488, kb_relative_information_score: 724.5333, mean_absolute_error: 0.4228, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.5777, predictive_accuracy: 0.5772, prior_entropy: 0.9945, recall: 0.5772, relative_absolute_error: 0.8522, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6502, root_relative_squared_error: 1.3055, scimark_benchmark: 1318.1432, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3833, kb_relative_information_score: 388.8235, mean_absolute_error: 0.456, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.2959, predictive_accuracy: 0.544, prior_entropy: 0.9945, recall: 0.544, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6753, root_relative_squared_error: 1.3558, scimark_benchmark: 1287.514, usercpu_time_millis: 300, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6412, kappa: 0.2755, kb_relative_information_score: 1402.0198, mean_absolute_error: 0.3558, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.6424, predictive_accuracy: 0.6442, prior_entropy: 0.9945, recall: 0.6442, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.5965, root_relative_squared_error: 1.1976, scimark_benchmark: 1287.514, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.641, kappa: 0.2751, kb_relative_information_score: 711.4987, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.642, predictive_accuracy: 0.6438, prior_entropy: 0.9945, recall: 0.6438, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9381, scimark_benchmark: 1339.3974, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6338, f_measure: 0.6379, kappa: 0.2689, kb_relative_information_score: 1351.4611, mean_absolute_error: 0.3608, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.6378, predictive_accuracy: 0.6392, prior_entropy: 0.9945, recall: 0.6392, relative_absolute_error: 0.7272, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.6007, root_relative_squared_error: 1.206, scimark_benchmark: 1280.6952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.6588, kappa: 0.3112, kb_relative_information_score: 957.3993, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.6587, predictive_accuracy: 0.6598, prior_entropy: 0.9945, recall: 0.6598, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4572, root_relative_squared_error: 0.9179, scimark_benchmark: 934.1747, usercpu_time_millis: 1600, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9047, kappa: 0.8078, kb_relative_information_score: 3186.191, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.9048, predictive_accuracy: 0.9048, prior_entropy: 0.9945, recall: 0.9048, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5595, scimark_benchmark: 1073.494, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8319, kappa: 0.661, kb_relative_information_score: 3301.0044, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8319, predictive_accuracy: 0.832, prior_entropy: 0.9945, recall: 0.832, relative_absolute_error: 0.3386, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8229, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8485, kappa: 0.6947, kb_relative_information_score: 3038.4899, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8485, predictive_accuracy: 0.8484, prior_entropy: 0.9945, recall: 0.8484, relative_absolute_error: 0.4158, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7185, scimark_benchmark: 1315.3881, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8695, kappa: 0.7367, kb_relative_information_score: 3348.8599, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.8695, predictive_accuracy: 0.8696, prior_entropy: 0.9945, recall: 0.8696, relative_absolute_error: 0.3506, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.6815, scimark_benchmark: 1318.1432, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.7771, kappa: 0.5503, kb_relative_information_score: 2748.9034, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4961, number_of_instances: 5000, precision: 0.7771, predictive_accuracy: 0.7774, prior_entropy: 0.9945, recall: 0.7774, relative_absolute_error: 0.4487, root_mean_prior_squared_error: 0.4981, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9473, scimark_benchmark: 1321.9426, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,

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