OpenML
Supervised Classification on boston

Supervised Classification on boston

Task 4423 Supervised Classification boston 207 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

207 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8594, kappa: 0.7096, kb_relative_information_score: 3278.2073, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6961, scimark_benchmark: 1334.6623, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8884, kappa: 0.7688, kb_relative_information_score: 3329.8709, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9782, recall: 0.8889, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5887, scimark_benchmark: 1360.8502, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8607, kappa: 0.7112, kb_relative_information_score: 3434.8085, mean_absolute_error: 0.1589, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8621, predictive_accuracy: 0.8619, prior_entropy: 0.9782, recall: 0.8619, relative_absolute_error: 0.3277, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6478, scimark_benchmark: 1397.3209, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 1346.2927, usercpu_time_millis: 190, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8594, kappa: 0.7096, kb_relative_information_score: 3278.2073, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8593, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6961, scimark_benchmark: 1297.2338, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7986, kappa: 0.5897, kb_relative_information_score: 2893.7889, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8045, predictive_accuracy: 0.7972, prior_entropy: 0.9782, recall: 0.7972, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8664, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 942.9708, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8884, kappa: 0.7688, kb_relative_information_score: 3329.8709, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9782, recall: 0.8889, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5887, scimark_benchmark: 1345.7204, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8709, kappa: 0.7327, kb_relative_information_score: 3462.0331, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8713, predictive_accuracy: 0.8715, prior_entropy: 0.9782, recall: 0.8715, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6428, scimark_benchmark: 1339.8573, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8429, kappa: 0.6749, kb_relative_information_score: 3410.4366, mean_absolute_error: 0.1568, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8431, predictive_accuracy: 0.8437, prior_entropy: 0.9782, recall: 0.8437, relative_absolute_error: 0.3234, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7239, scimark_benchmark: 1288.1375, usercpu_time_millis: 4230, usercpu_time_millis_testing: 4230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8705, kappa: 0.7315, kb_relative_information_score: 2864.3268, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8725, predictive_accuracy: 0.8717, prior_entropy: 0.9782, recall: 0.8717, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3064, root_relative_squared_error: 0.6223, scimark_benchmark: 909.1698, usercpu_time_millis: 400, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.847, kappa: 0.6828, kb_relative_information_score: 3070.0635, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8481, predictive_accuracy: 0.8482, prior_entropy: 0.9782, recall: 0.8482, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6922, scimark_benchmark: 1341.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8673, kappa: 0.7253, kb_relative_information_score: 3505.7179, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8677, predictive_accuracy: 0.868, prior_entropy: 0.9782, recall: 0.868, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3251, root_relative_squared_error: 0.6603, scimark_benchmark: 1343.6648, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.7986, kappa: 0.5897, kb_relative_information_score: 2893.7889, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8045, predictive_accuracy: 0.7972, prior_entropy: 0.9782, recall: 0.7972, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8664, scimark_benchmark: 1335.643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8638, kappa: 0.718, kb_relative_information_score: 3262.5672, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9782, recall: 0.8644, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6506, scimark_benchmark: 1360.2999, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.875, kappa: 0.7411, kb_relative_information_score: 3207.0926, mean_absolute_error: 0.1902, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8761, predictive_accuracy: 0.8759, prior_entropy: 0.9782, recall: 0.8759, relative_absolute_error: 0.3923, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6123, scimark_benchmark: 892.0148, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8638, kappa: 0.718, kb_relative_information_score: 3262.5672, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9782, recall: 0.8644, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6506, scimark_benchmark: 1334.4761, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8677, kappa: 0.7257, kb_relative_information_score: 2865.691, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8697, predictive_accuracy: 0.869, prior_entropy: 0.9782, recall: 0.869, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.6233, scimark_benchmark: 1325.3444, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 1354.8751, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8519, kappa: 0.6934, kb_relative_information_score: 3222.201, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8524, predictive_accuracy: 0.8528, prior_entropy: 0.9782, recall: 0.8528, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7388, scimark_benchmark: 1292.1375, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8626, kappa: 0.7153, kb_relative_information_score: 2794.9378, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8637, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.6468, scimark_benchmark: 1308.3432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7567, kappa: 0.5016, kb_relative_information_score: 2474.503, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7594, predictive_accuracy: 0.7555, prior_entropy: 0.9782, recall: 0.7555, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0042, scimark_benchmark: 1347.9553, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8342, kappa: 0.6554, kb_relative_information_score: 2754.5939, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8482, predictive_accuracy: 0.8389, prior_entropy: 0.9782, recall: 0.8389, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7147, scimark_benchmark: 833.3193, usercpu_time_millis: 830, usercpu_time_millis_testing: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8523, kappa: 0.6952, kb_relative_information_score: 3486.8062, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8522, predictive_accuracy: 0.8524, prior_entropy: 0.9782, recall: 0.8524, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7786, scimark_benchmark: 1328.8457, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8523, kappa: 0.6952, kb_relative_information_score: 3498.315, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8522, predictive_accuracy: 0.8524, prior_entropy: 0.9782, recall: 0.8524, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3842, root_relative_squared_error: 0.7803, scimark_benchmark: 1328.8457, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.8698, kappa: 0.7299, kb_relative_information_score: 3694.7197, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8716, predictive_accuracy: 0.8709, prior_entropy: 0.9782, recall: 0.8709, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.7296, scimark_benchmark: 937.5996, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8258, kappa: 0.6382, kb_relative_information_score: 2490.7671, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8288, predictive_accuracy: 0.8281, prior_entropy: 0.9782, recall: 0.8281, relative_absolute_error: 0.5437, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3741, root_relative_squared_error: 0.7598, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8386, kappa: 0.6647, kb_relative_information_score: 2853.8886, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8426, predictive_accuracy: 0.8409, prior_entropy: 0.9782, recall: 0.8409, relative_absolute_error: 0.4603, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.6821, scimark_benchmark: 1340.4336, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8589, kappa: 0.7085, kb_relative_information_score: 3141.3514, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8588, predictive_accuracy: 0.8591, prior_entropy: 0.9782, recall: 0.8591, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6996, scimark_benchmark: 1384.4422, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 1249.4068, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8689, kappa: 0.7285, kb_relative_information_score: 3617.4648, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6841, scimark_benchmark: 1311.1837, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8686, kappa: 0.728, kb_relative_information_score: 3380.0468, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8689, predictive_accuracy: 0.8692, prior_entropy: 0.9782, recall: 0.8692, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6416, scimark_benchmark: 1329.8902, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8523, kappa: 0.6942, kb_relative_information_score: 3142.4533, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8525, predictive_accuracy: 0.853, prior_entropy: 0.9782, recall: 0.853, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6685, scimark_benchmark: 1270.2428, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8741, kappa: 0.7393, kb_relative_information_score: 3201.6153, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 0.9782, recall: 0.8749, relative_absolute_error: 0.391, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6254, scimark_benchmark: 1301.1661, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7968, kappa: 0.5804, kb_relative_information_score: 2913.2795, mean_absolute_error: 0.203, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7966, predictive_accuracy: 0.797, prior_entropy: 0.9782, recall: 0.797, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.915, scimark_benchmark: 1343.4596, usercpu_time_millis: 210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5574, f_measure: 0.5429, kappa: 0.1306, kb_relative_information_score: 1141.458, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6846, predictive_accuracy: 0.6294, prior_entropy: 0.9782, recall: 0.6294, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6087, root_relative_squared_error: 1.2363, scimark_benchmark: 1313.6093, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.8563, kappa: 0.7028, kb_relative_information_score: 3408.7596, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9782, recall: 0.8569, relative_absolute_error: 0.3317, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.6636, scimark_benchmark: 1259.7574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.8373, kappa: 0.6637, kb_relative_information_score: 3169.1542, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8372, predictive_accuracy: 0.8377, prior_entropy: 0.9782, recall: 0.8377, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7689, scimark_benchmark: 1264.9916, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8499, f_measure: 0.8373, kappa: 0.6637, kb_relative_information_score: 3169.1542, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8372, predictive_accuracy: 0.8377, prior_entropy: 0.9782, recall: 0.8377, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7689, scimark_benchmark: 1339.944, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.847, kappa: 0.6828, kb_relative_information_score: 3070.0635, mean_absolute_error: 0.2011, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8481, predictive_accuracy: 0.8482, prior_entropy: 0.9782, recall: 0.8482, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6922, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7479, kappa: 0.5052, kb_relative_information_score: 2370.5273, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7836, predictive_accuracy: 0.747, prior_entropy: 0.9782, recall: 0.747, relative_absolute_error: 0.5243, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9794, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.7483, kappa: 0.5057, kb_relative_information_score: 2374.6203, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7835, predictive_accuracy: 0.7474, prior_entropy: 0.9782, recall: 0.7474, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9783, scimark_benchmark: 986.8456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.873, kappa: 0.7375, kb_relative_information_score: 3719.7926, mean_absolute_error: 0.1267, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.873, predictive_accuracy: 0.8733, prior_entropy: 0.9782, recall: 0.8733, relative_absolute_error: 0.2612, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7229, scimark_benchmark: 1330.7934, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8752, kappa: 0.7421, kb_relative_information_score: 3244.1744, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6183, scimark_benchmark: 1276.5165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8586, kappa: 0.7077, kb_relative_information_score: 3370.3776, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8587, predictive_accuracy: 0.8591, prior_entropy: 0.9782, recall: 0.8591, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6749, scimark_benchmark: 1316.7863, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 939.9176, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.8571, kappa: 0.704, kb_relative_information_score: 3189.0443, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8576, predictive_accuracy: 0.8579, prior_entropy: 0.9782, recall: 0.8579, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7144, scimark_benchmark: 1301.9956, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8136, kappa: 0.613, kb_relative_information_score: 2364.031, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8159, predictive_accuracy: 0.8158, prior_entropy: 0.9782, recall: 0.8158, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7831, scimark_benchmark: 1344.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8611, kappa: 0.7125, kb_relative_information_score: 3370.1038, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8616, predictive_accuracy: 0.8619, prior_entropy: 0.9782, recall: 0.8619, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6998, scimark_benchmark: 1321.527, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8426, f_measure: 0.7514, kappa: 0.5112, kb_relative_information_score: 2322.6509, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7857, predictive_accuracy: 0.7504, prior_entropy: 0.9782, recall: 0.7504, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9602, scimark_benchmark: 1334.3805, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8638, kappa: 0.718, kb_relative_information_score: 3262.5672, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8641, predictive_accuracy: 0.8644, prior_entropy: 0.9782, recall: 0.8644, relative_absolute_error: 0.3729, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6506, scimark_benchmark: 1321.7236, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8649, kappa: 0.7207, kb_relative_information_score: 3276.4041, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.865, predictive_accuracy: 0.8654, prior_entropy: 0.9782, recall: 0.8654, relative_absolute_error: 0.3681, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6507, scimark_benchmark: 1341.7207, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8773, kappa: 0.7457, kb_relative_information_score: 3207.8466, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8782, predictive_accuracy: 0.8781, prior_entropy: 0.9782, recall: 0.8781, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6115, scimark_benchmark: 935.5075, usercpu_time_millis: 550, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8718, kappa: 0.7349, kb_relative_information_score: 3637.2376, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.872, predictive_accuracy: 0.8723, prior_entropy: 0.9782, recall: 0.8723, relative_absolute_error: 0.2813, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.6749, scimark_benchmark: 1386.5717, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.6738, kappa: 0.3827, kb_relative_information_score: 388.208, mean_absolute_error: 0.4525, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7406, predictive_accuracy: 0.6771, prior_entropy: 0.9782, recall: 0.6771, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4648, root_relative_squared_error: 0.9441, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.4341, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1, scimark_benchmark: 899.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.7377, kappa: 0.4679, kb_relative_information_score: -109.582, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8177, predictive_accuracy: 0.7626, prior_entropy: 0.9782, recall: 0.7626, relative_absolute_error: 1.012, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9973, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8499, kappa: 0.6892, kb_relative_information_score: 2753.5633, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8504, predictive_accuracy: 0.8508, prior_entropy: 0.9782, recall: 0.8508, relative_absolute_error: 0.4848, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.6746, scimark_benchmark: 938.343, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.8695, kappa: 0.7294, kb_relative_information_score: 2863.6182, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8715, predictive_accuracy: 0.8708, prior_entropy: 0.9782, recall: 0.8708, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6249, scimark_benchmark: 1307.4861, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.8711, kappa: 0.7325, kb_relative_information_score: 2854.6967, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8733, predictive_accuracy: 0.8723, prior_entropy: 0.9782, recall: 0.8723, relative_absolute_error: 0.4756, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6288, scimark_benchmark: 1331.6907, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8674, kappa: 0.725, kb_relative_information_score: 2846.1909, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8692, predictive_accuracy: 0.8686, prior_entropy: 0.9782, recall: 0.8686, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3118, root_relative_squared_error: 0.6332, scimark_benchmark: 1331.6907, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8743, kappa: 0.7395, kb_relative_information_score: 3207.861, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8752, predictive_accuracy: 0.8751, prior_entropy: 0.9782, recall: 0.8751, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.615, scimark_benchmark: 882.7843, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8747, kappa: 0.7404, kb_relative_information_score: 3205.4673, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8756, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3916, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.6178, scimark_benchmark: 912.7324, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8488, kappa: 0.6863, kb_relative_information_score: 2970.5968, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.851, predictive_accuracy: 0.8504, prior_entropy: 0.9782, recall: 0.8504, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3532, root_relative_squared_error: 0.7174, scimark_benchmark: 924.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.8715, kappa: 0.734, kb_relative_information_score: 3492.2628, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8719, predictive_accuracy: 0.8721, prior_entropy: 0.9782, recall: 0.8721, relative_absolute_error: 0.3177, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.6393, scimark_benchmark: 924.3698, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.86, kappa: 0.7104, kb_relative_information_score: 3368.6721, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8603, predictive_accuracy: 0.8607, prior_entropy: 0.9782, recall: 0.8607, relative_absolute_error: 0.3431, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.6547, scimark_benchmark: 915.9693, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8529, kappa: 0.6954, kb_relative_information_score: 3241.3074, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8534, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6703, scimark_benchmark: 1287.514, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8429, kappa: 0.6746, kb_relative_information_score: 3130.4698, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8434, predictive_accuracy: 0.8439, prior_entropy: 0.9782, recall: 0.8439, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6846, scimark_benchmark: 929.0363, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8422, kappa: 0.6734, kb_relative_information_score: 3065.6284, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8426, predictive_accuracy: 0.8431, prior_entropy: 0.9782, recall: 0.8431, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6927, scimark_benchmark: 1404.1865, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8552, kappa: 0.7009, kb_relative_information_score: 3069.7651, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8551, predictive_accuracy: 0.8555, prior_entropy: 0.9782, recall: 0.8555, relative_absolute_error: 0.4073, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.6543, scimark_benchmark: 889.3151, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8622, kappa: 0.7149, kb_relative_information_score: 3280.3919, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8622, predictive_accuracy: 0.8626, prior_entropy: 0.9782, recall: 0.8626, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3278, root_relative_squared_error: 0.6657, scimark_benchmark: 942.9518, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.8535, kappa: 0.6983, kb_relative_information_score: 3508.762, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8538, predictive_accuracy: 0.8534, prior_entropy: 0.9782, recall: 0.8534, relative_absolute_error: 0.3024, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7777, scimark_benchmark: 1442.7264, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8624, kappa: 0.7151, kb_relative_information_score: 3613.2326, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.863, predictive_accuracy: 0.8632, prior_entropy: 0.9782, recall: 0.8632, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7511, scimark_benchmark: 825.5282, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8701, kappa: 0.7315, kb_relative_information_score: 3041.5048, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.87, predictive_accuracy: 0.8704, prior_entropy: 0.9782, recall: 0.8704, relative_absolute_error: 0.4242, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6322, scimark_benchmark: 915.6729, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.7567, kappa: 0.5016, kb_relative_information_score: 2474.503, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.7594, predictive_accuracy: 0.7555, prior_entropy: 0.9782, recall: 0.7555, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4944, root_relative_squared_error: 1.0042, scimark_benchmark: 935.5075, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8934, kappa: 0.7793, kb_relative_information_score: 3310.86, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8943, predictive_accuracy: 0.8941, prior_entropy: 0.9782, recall: 0.8941, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5929, scimark_benchmark: 899.5042, usercpu_time_millis: 3080, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 3010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8884, kappa: 0.7688, kb_relative_information_score: 3329.8709, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.889, predictive_accuracy: 0.8889, prior_entropy: 0.9782, recall: 0.8889, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2899, root_relative_squared_error: 0.5887, scimark_benchmark: 1307.4861, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.8342, kappa: 0.6581, kb_relative_information_score: 3306.089, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8342, predictive_accuracy: 0.8342, prior_entropy: 0.9782, recall: 0.8342, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.827, scimark_benchmark: 1315.0767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8549, kappa: 0.699, kb_relative_information_score: 3080.5164, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8564, predictive_accuracy: 0.8561, prior_entropy: 0.9782, recall: 0.8561, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6921, scimark_benchmark: 1327.8711, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8595, kappa: 0.7088, kb_relative_information_score: 3088.7646, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8609, predictive_accuracy: 0.8607, prior_entropy: 0.9782, recall: 0.8607, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.7054, scimark_benchmark: 1310.3951, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8616, kappa: 0.7132, kb_relative_information_score: 3606.9644, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8627, predictive_accuracy: 0.8626, prior_entropy: 0.9782, recall: 0.8626, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.7527, scimark_benchmark: 1280.6952, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5197, f_measure: 0.4847, kappa: 0.0453, kb_relative_information_score: 811.3308, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.6088, predictive_accuracy: 0.5982, prior_entropy: 0.9782, recall: 0.5982, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.6339, root_relative_squared_error: 1.2873, scimark_benchmark: 1301.9956, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.8435, kappa: 0.6759, kb_relative_information_score: 3179.8729, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.844, predictive_accuracy: 0.8445, prior_entropy: 0.9782, recall: 0.8445, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.36, root_relative_squared_error: 0.7311, scimark_benchmark: 1330.0803, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.8374, kappa: 0.6628, kb_relative_information_score: 3356.2349, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.839, predictive_accuracy: 0.8389, prior_entropy: 0.9782, recall: 0.8389, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8151, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8433, kappa: 0.6755, kb_relative_information_score: 3412.6491, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8438, predictive_accuracy: 0.8443, prior_entropy: 0.9782, recall: 0.8443, relative_absolute_error: 0.3211, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8015, scimark_benchmark: 1341.2341, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4943, f_measure: 0.4342, kb_relative_information_score: -0.4341, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.3445, predictive_accuracy: 0.587, prior_entropy: 0.9782, recall: 0.587, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4924, root_relative_squared_error: 1, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8472, kappa: 0.6835, kb_relative_information_score: 3177.7507, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8479, predictive_accuracy: 0.8482, prior_entropy: 0.9782, recall: 0.8482, relative_absolute_error: 0.3856, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7477, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, build_cpu_time: 43.2325, build_memory: 3246990667.0071, f_measure: 0.8908, kappa: 0.7741, kb_relative_information_score: 3437.8091, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8912, predictive_accuracy: 0.8913, prior_entropy: 0.9782, recall: 0.8913, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.5852, scimark_benchmark: 942.7014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, build_cpu_time: 3.8003, build_memory: 922400245.5526, f_measure: 0.8853, kappa: 0.7628, kb_relative_information_score: 3848.2753, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8853, predictive_accuracy: 0.8856, prior_entropy: 0.9782, recall: 0.8856, relative_absolute_error: 0.2362, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6824, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 2.2224, build_memory: 1075352271.1874, f_measure: 0.8879, kappa: 0.7682, kb_relative_information_score: 3875.0177, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8881, predictive_accuracy: 0.8883, prior_entropy: 0.9782, recall: 0.8883, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.6705, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9163, build_cpu_time: 1.2291, build_memory: 1653112686.4506, f_measure: 0.8843, kappa: 0.7607, kb_relative_information_score: 3837.1408, mean_absolute_error: 0.1157, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8846, predictive_accuracy: 0.8848, prior_entropy: 0.9782, recall: 0.8848, relative_absolute_error: 0.2386, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6772, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, build_cpu_time: 0.5415, build_memory: 221106837.0435, f_measure: 0.8832, kappa: 0.7585, kb_relative_information_score: 3823.1105, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8833, predictive_accuracy: 0.8836, prior_entropy: 0.9782, recall: 0.8836, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6729, scimark_benchmark: 946.1004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, build_cpu_time: 0.5816, build_memory: 112924078.0016, f_measure: 0.8832, kappa: 0.7585, kb_relative_information_score: 3823.1105, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8833, predictive_accuracy: 0.8836, prior_entropy: 0.9782, recall: 0.8836, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6729, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, build_cpu_time: 0.5193, build_memory: 946967180.1692, f_measure: 0.8832, kappa: 0.7585, kb_relative_information_score: 3823.1105, mean_absolute_error: 0.1172, mean_prior_absolute_error: 0.4849, number_of_instances: 5060, precision: 0.8833, predictive_accuracy: 0.8836, prior_entropy: 0.9782, recall: 0.8836, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6729, scimark_benchmark: 943.1654,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs