OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 1917 Supervised Classification diabetes 781 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • ComplexWorkflows under100k under1m
Issue #Downvotes for this reason By


Metric:

781 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.748, kappa: 0.4368, kb_relative_information_score: 3347.4933, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7475, predictive_accuracy: 0.7538, prior_entropy: 0.9335, recall: 0.7538, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.0411, scimark_benchmark: 916.5955, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7507, kappa: 0.4439, kb_relative_information_score: 2653.5724, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7498, predictive_accuracy: 0.7555, prior_entropy: 0.9335, recall: 0.7555, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.852, scimark_benchmark: 1336.2509, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7361, kappa: 0.4122, kb_relative_information_score: 2490.7873, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7346, predictive_accuracy: 0.7404, prior_entropy: 0.9335, recall: 0.7404, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9281, scimark_benchmark: 1318.1432, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7502, kappa: 0.4425, kb_relative_information_score: 2720.2096, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7494, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6478, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8513, scimark_benchmark: 918.0213, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, f_measure: 0.7518, kappa: 0.4462, kb_relative_information_score: 2796.5761, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7509, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.6364, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8503, scimark_benchmark: 1363.434, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7288, kappa: 0.3998, kb_relative_information_score: 2365.6662, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7276, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8834, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.6135, kappa: 0.1414, kb_relative_information_score: 959.4531, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6102, predictive_accuracy: 0.618, prior_entropy: 0.9335, recall: 0.618, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2968, scimark_benchmark: 938.9967, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, f_measure: 0.7512, kappa: 0.4485, kb_relative_information_score: 2584.6889, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.75, predictive_accuracy: 0.7534, prior_entropy: 0.9335, recall: 0.7534, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711, scimark_benchmark: 1304.6687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8295, f_measure: 0.7612, kappa: 0.4637, kb_relative_information_score: 2444.5158, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7649, predictive_accuracy: 0.7701, prior_entropy: 0.9335, recall: 0.7701, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.8325, scimark_benchmark: 1280.6952, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 2640.1268, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7625, predictive_accuracy: 0.7681, prior_entropy: 0.9335, recall: 0.7681, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8264, scimark_benchmark: 1028.5889, usercpu_time_millis: 4140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7031, kappa: 0.3464, kb_relative_information_score: 2459.1332, mean_absolute_error: 0.2967, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.703, predictive_accuracy: 0.7033, prior_entropy: 0.9335, recall: 0.7033, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5447, root_relative_squared_error: 1.1429, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.7384, kappa: 0.4172, kb_relative_information_score: 2357.0376, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7369, predictive_accuracy: 0.7426, prior_entropy: 0.9335, recall: 0.7426, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.899, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7435, kappa: 0.4271, kb_relative_information_score: 2580.3843, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7427, predictive_accuracy: 0.7491, prior_entropy: 0.9335, recall: 0.7491, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4108, root_relative_squared_error: 0.8618, scimark_benchmark: 1386.5717, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.7609, kappa: 0.4664, kb_relative_information_score: 2533.7879, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7602, predictive_accuracy: 0.7655, prior_entropy: 0.9335, recall: 0.7655, relative_absolute_error: 0.6822, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8304, scimark_benchmark: 1339.3974, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 1315.395, usercpu_time_millis: 510, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7587, kappa: 0.4574, kb_relative_information_score: 3615.3751, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7643, predictive_accuracy: 0.769, prior_entropy: 0.9335, recall: 0.769, relative_absolute_error: 0.5082, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4806, root_relative_squared_error: 1.0083, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.746, f_measure: 0.7357, kappa: 0.4094, kb_relative_information_score: 2062.7282, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7347, predictive_accuracy: 0.7415, prior_entropy: 0.9335, recall: 0.7415, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9109, scimark_benchmark: 1066.7184, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1354.2491, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7446, kappa: 0.4301, kb_relative_information_score: 2336.4092, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7437, predictive_accuracy: 0.7497, prior_entropy: 0.9335, recall: 0.7497, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4172, root_relative_squared_error: 0.8754, scimark_benchmark: 1342.1678, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7398, kappa: 0.4136, kb_relative_information_score: 1711.9222, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7533, predictive_accuracy: 0.7563, prior_entropy: 0.9335, recall: 0.7563, relative_absolute_error: 0.8024, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8555, scimark_benchmark: 1331.2332, usercpu_time_millis: 600, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.7615, kappa: 0.4645, kb_relative_information_score: 2452.2744, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7652, predictive_accuracy: 0.7703, prior_entropy: 0.9335, recall: 0.7703, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8322, scimark_benchmark: 1331.2332, usercpu_time_millis: 330, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7585, kappa: 0.4666, kb_relative_information_score: 2718.6934, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7578, predictive_accuracy: 0.7595, prior_entropy: 0.9335, recall: 0.7595, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8663, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7384, kappa: 0.4105, kb_relative_information_score: 1688.0962, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7522, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8588, scimark_benchmark: 1347.5461, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7367, kappa: 0.4067, kb_relative_information_score: 1705.4084, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7501, predictive_accuracy: 0.7535, prior_entropy: 0.9335, recall: 0.7535, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.859, scimark_benchmark: 1347.993, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, f_measure: 0.7387, kappa: 0.4112, kb_relative_information_score: 1707.8033, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.752, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8564, scimark_benchmark: 1342.2985, usercpu_time_millis: 190, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 1327.2954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.7445, kappa: 0.4267, kb_relative_information_score: 3330.351, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7465, predictive_accuracy: 0.7534, prior_entropy: 0.9335, recall: 0.7534, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9907, scimark_benchmark: 1334.4761, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7593, kappa: 0.461, kb_relative_information_score: 2707.7468, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7602, predictive_accuracy: 0.766, prior_entropy: 0.9335, recall: 0.766, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4242, root_relative_squared_error: 0.89, scimark_benchmark: 1345.842, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 1320.9026, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 916.5769, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.7606, kappa: 0.4655, kb_relative_information_score: 2540.0911, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7601, predictive_accuracy: 0.7655, prior_entropy: 0.9335, recall: 0.7655, relative_absolute_error: 0.6817, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 892.0148, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.7346, kappa: 0.4068, kb_relative_information_score: 2147.5401, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7336, predictive_accuracy: 0.7406, prior_entropy: 0.9335, recall: 0.7406, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9513, scimark_benchmark: 1340.1351, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.7452, kappa: 0.4316, kb_relative_information_score: 1701.9751, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7441, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.7895, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8706, scimark_benchmark: 1064.8317, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.7425, kappa: 0.4268, kb_relative_information_score: 2725.3072, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7411, predictive_accuracy: 0.7464, prior_entropy: 0.9335, recall: 0.7464, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8774, scimark_benchmark: 1064.8317, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7596, kappa: 0.4643, kb_relative_information_score: 2549.6511, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7586, predictive_accuracy: 0.7635, prior_entropy: 0.9335, recall: 0.7635, relative_absolute_error: 0.6752, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394, scimark_benchmark: 1345.7204, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 1339.8573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.6757, kappa: 0.2851, kb_relative_information_score: 1985.1885, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6752, predictive_accuracy: 0.6763, prior_entropy: 0.9335, recall: 0.6763, relative_absolute_error: 0.7122, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5689, root_relative_squared_error: 1.1937, scimark_benchmark: 1317.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 1541.0084, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 1345.7204, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7621, kappa: 0.4723, kb_relative_information_score: 2632.9693, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7609, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.85, scimark_benchmark: 1307.3764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7493, kappa: 0.4415, kb_relative_information_score: 2350.2092, mean_absolute_error: 0.3203, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.748, predictive_accuracy: 0.7533, prior_entropy: 0.9335, recall: 0.7533, relative_absolute_error: 0.7048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8745, scimark_benchmark: 1314.7093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.7615, kappa: 0.4717, kb_relative_information_score: 2675.4225, mean_absolute_error: 0.2976, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7604, predictive_accuracy: 0.7632, prior_entropy: 0.9335, recall: 0.7632, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4069, root_relative_squared_error: 0.8537, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, f_measure: 0.7585, kappa: 0.4666, kb_relative_information_score: 2718.6934, mean_absolute_error: 0.2934, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7578, predictive_accuracy: 0.7595, prior_entropy: 0.9335, recall: 0.7595, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.8663, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, build_cpu_time: 0.2908, build_memory: 232916633.2458, f_measure: 0.7515, kappa: 0.4483, kb_relative_information_score: 3348.8549, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7502, predictive_accuracy: 0.7542, prior_entropy: 0.9335, recall: 0.7542, relative_absolute_error: 0.5429, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9793, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, build_cpu_time: 0.323, build_memory: 188518949.3521, f_measure: 0.7588, kappa: 0.4635, kb_relative_information_score: 2612.8369, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7576, predictive_accuracy: 0.762, prior_entropy: 0.9335, recall: 0.762, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8402, scimark_benchmark: 927.7787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, build_cpu_time: 0.6433, build_memory: 934059436.6344, f_measure: 0.7587, kappa: 0.4631, kb_relative_information_score: 2617.1441, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7576, predictive_accuracy: 0.7621, prior_entropy: 0.9335, recall: 0.7621, relative_absolute_error: 0.6666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.399, root_relative_squared_error: 0.837, scimark_benchmark: 945.9408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.1601, build_memory: 2806994647.6885, f_measure: 0.7554, kappa: 0.4563, kb_relative_information_score: 2603.3152, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7542, predictive_accuracy: 0.7585, prior_entropy: 0.9335, recall: 0.7585, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 944.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, build_cpu_time: 0.1765, build_memory: 363316378.3656, f_measure: 0.7554, kappa: 0.4563, kb_relative_information_score: 2603.3152, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7542, predictive_accuracy: 0.7585, prior_entropy: 0.9335, recall: 0.7585, relative_absolute_error: 0.666, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8464, scimark_benchmark: 894.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, build_cpu_time: 4.1319, build_memory: 1423549841.0427, f_measure: 0.7559, kappa: 0.4523, kb_relative_information_score: 2424.6932, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7583, predictive_accuracy: 0.7642, prior_entropy: 0.9335, recall: 0.7642, relative_absolute_error: 0.7018, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4005, root_relative_squared_error: 0.8403, scimark_benchmark: 925.9546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, build_cpu_time: 0.5686, build_memory: 226066813.374, f_measure: 0.7566, kappa: 0.4595, kb_relative_information_score: 3431.6318, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7554, predictive_accuracy: 0.7594, prior_entropy: 0.9335, recall: 0.7594, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9742, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, build_cpu_time: 0.575, build_memory: 501237105.0208, f_measure: 0.7566, kappa: 0.4595, kb_relative_information_score: 3431.6318, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7554, predictive_accuracy: 0.7594, prior_entropy: 0.9335, recall: 0.7594, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.9742, scimark_benchmark: 939.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.7308, kappa: 0.3946, kb_relative_information_score: 1942.7971, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7345, predictive_accuracy: 0.7424, prior_entropy: 0.9335, recall: 0.7424, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, f_measure: 0.711, kappa: 0.3571, kb_relative_information_score: 2003.7278, mean_absolute_error: 0.331, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.709, predictive_accuracy: 0.715, prior_entropy: 0.9335, recall: 0.715, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7241, kappa: 0.3905, kb_relative_information_score: 2059.8092, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7232, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.7299, kappa: 0.3948, kb_relative_information_score: 2563.8724, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7299, predictive_accuracy: 0.7379, prior_entropy: 0.9335, recall: 0.7379, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7102, kappa: 0.3908, kb_relative_information_score: 2481.3586, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.732, predictive_accuracy: 0.7038, prior_entropy: 0.9335, recall: 0.7038, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5186, root_relative_squared_error: 1.0879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, f_measure: 0.7296, kappa: 0.3922, kb_relative_information_score: 1934.4701, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7324, predictive_accuracy: 0.7406, prior_entropy: 0.9335, recall: 0.7406, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.8681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.7223, kappa: 0.3828, kb_relative_information_score: 2072.6676, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7205, predictive_accuracy: 0.7257, prior_entropy: 0.9335, recall: 0.7257, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7276, kappa: 0.3977, kb_relative_information_score: 2061.2192, mean_absolute_error: 0.3331, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7265, predictive_accuracy: 0.7289, prior_entropy: 0.9335, recall: 0.7289, relative_absolute_error: 0.7329, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7281, kappa: 0.3938, kb_relative_information_score: 2538.1196, mean_absolute_error: 0.2998, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7265, predictive_accuracy: 0.7329, prior_entropy: 0.9335, recall: 0.7329, relative_absolute_error: 0.6597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.6824, kappa: 0.2909, kb_relative_information_score: 2129.8239, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6797, predictive_accuracy: 0.6891, prior_entropy: 0.9335, recall: 0.6891, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4926, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7285, kappa: 0.3896, kb_relative_information_score: 2004.855, mean_absolute_error: 0.3385, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7317, predictive_accuracy: 0.74, prior_entropy: 0.9335, recall: 0.74, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.737, kappa: 0.4089, kb_relative_information_score: 2815.7998, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7402, predictive_accuracy: 0.7477, prior_entropy: 0.9335, recall: 0.7477, relative_absolute_error: 0.6214, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.9003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7341, kappa: 0.4012, kb_relative_information_score: 2072.0146, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7418, predictive_accuracy: 0.7482, prior_entropy: 0.9335, recall: 0.7482, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index -81 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7299, kappa: 0.3928, kb_relative_information_score: 1928.6275, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7333, predictive_accuracy: 0.7414, prior_entropy: 0.9335, recall: 0.7414, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7321, kappa: 0.4043, kb_relative_information_score: 2093.8321, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7305, predictive_accuracy: 0.7355, prior_entropy: 0.9335, recall: 0.7355, relative_absolute_error: 0.7244, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7267, kappa: 0.3961, kb_relative_information_score: 2059.8288, mean_absolute_error: 0.3334, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7257, predictive_accuracy: 0.728, prior_entropy: 0.9335, recall: 0.728, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7301, kappa: 0.3955, kb_relative_information_score: 2509.6053, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.73, predictive_accuracy: 0.7379, prior_entropy: 0.9335, recall: 0.7379, relative_absolute_error: 0.6638, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.6863, kappa: 0.3004, kb_relative_information_score: 2115.8372, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6837, predictive_accuracy: 0.6919, prior_entropy: 0.9335, recall: 0.6919, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4912, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.7284, kappa: 0.3891, kb_relative_information_score: 1997.3711, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7322, predictive_accuracy: 0.7404, prior_entropy: 0.9335, recall: 0.7404, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.731, kappa: 0.4001, kb_relative_information_score: 2482.301, mean_absolute_error: 0.3035, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7296, predictive_accuracy: 0.7361, prior_entropy: 0.9335, recall: 0.7361, relative_absolute_error: 0.6679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7968, f_measure: 0.74, kappa: 0.4155, kb_relative_information_score: 2827.6862, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7443, predictive_accuracy: 0.7512, prior_entropy: 0.9335, recall: 0.7512, relative_absolute_error: 0.6209, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2637, f_measure: 0.2871, kappa: -0.273, kb_relative_information_score: -4268.3327, mean_absolute_error: 0.6716, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3525, predictive_accuracy: 0.294, prior_entropy: 0.9335, recall: 0.294, relative_absolute_error: 1.4777, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7416, root_relative_squared_error: 1.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.214, f_measure: 0.2496, kappa: -0.3278, kb_relative_information_score: -4916.1445, mean_absolute_error: 0.709, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3071, predictive_accuracy: 0.2596, prior_entropy: 0.9335, recall: 0.2596, relative_absolute_error: 1.56, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7766, root_relative_squared_error: 1.6294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2724, f_measure: 0.3104, kappa: -0.1976, kb_relative_information_score: -4197.2621, mean_absolute_error: 0.6752, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.393, predictive_accuracy: 0.325, prior_entropy: 0.9335, recall: 0.325, relative_absolute_error: 1.4855, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7808, root_relative_squared_error: 1.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7123, kappa: 0.3578, kb_relative_information_score: 1911.2929, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7104, predictive_accuracy: 0.718, prior_entropy: 0.9335, recall: 0.718, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7034, f_measure: 0.6804, kappa: 0.2929, kb_relative_information_score: 1983.4485, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.6789, predictive_accuracy: 0.6823, prior_entropy: 0.9335, recall: 0.6823, relative_absolute_error: 0.713, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.766, f_measure: 0.7208, kappa: 0.3746, kb_relative_information_score: 2656.9818, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7201, predictive_accuracy: 0.7286, prior_entropy: 0.9335, recall: 0.7286, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.7142, kappa: 0.3562, kb_relative_information_score: 1988.441, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7217, predictive_accuracy: 0.7306, prior_entropy: 0.9335, recall: 0.7306, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.7263, kappa: 0.3857, kb_relative_information_score: 2015.9017, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7272, predictive_accuracy: 0.7358, prior_entropy: 0.9335, recall: 0.7358, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7393, kappa: 0.4152, kb_relative_information_score: 2071.6063, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7405, predictive_accuracy: 0.7479, prior_entropy: 0.9335, recall: 0.7479, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.8684,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Index -1 out of bounds for length 501
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7334, kappa: 0.4002, kb_relative_information_score: 1871.2882, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7378, predictive_accuracy: 0.7453, prior_entropy: 0.9335, recall: 0.7453, relative_absolute_error: 0.7642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.7268, kappa: 0.3956, kb_relative_information_score: 2061.1461, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7256, predictive_accuracy: 0.7284, prior_entropy: 0.9335, recall: 0.7284, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2304, f_measure: 0.2551, kappa: -0.287, kb_relative_information_score: -4234.1221, mean_absolute_error: 0.6631, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3202, predictive_accuracy: 0.2725, prior_entropy: 0.9335, recall: 0.2725, relative_absolute_error: 1.459, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7124, root_relative_squared_error: 1.4947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2965, f_measure: 0.3141, kappa: -0.239, kb_relative_information_score: -4249.1534, mean_absolute_error: 0.676, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3823, predictive_accuracy: 0.3177, prior_entropy: 0.9335, recall: 0.3177, relative_absolute_error: 1.4873, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7712, root_relative_squared_error: 1.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2142, f_measure: 0.2414, kappa: -0.2911, kb_relative_information_score: -4275.5131, mean_absolute_error: 0.6632, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.305, predictive_accuracy: 0.2642, prior_entropy: 0.9335, recall: 0.2642, relative_absolute_error: 1.4593, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7074, root_relative_squared_error: 1.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2211, f_measure: 0.2478, kappa: -0.2859, kb_relative_information_score: -4274.4586, mean_absolute_error: 0.6644, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3128, predictive_accuracy: 0.2689, prior_entropy: 0.9335, recall: 0.2689, relative_absolute_error: 1.4619, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7111, root_relative_squared_error: 1.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2434, f_measure: 0.2879, kappa: -0.3086, kb_relative_information_score: -4240.11, mean_absolute_error: 0.667, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.345, predictive_accuracy: 0.2872, prior_entropy: 0.9335, recall: 0.2872, relative_absolute_error: 1.4677, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7274, root_relative_squared_error: 1.5262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2249, f_measure: 0.2676, kappa: -0.3464, kb_relative_information_score: -4957.1896, mean_absolute_error: 0.7126, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3206, predictive_accuracy: 0.2668, prior_entropy: 0.9335, recall: 0.2668, relative_absolute_error: 1.5679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.786, root_relative_squared_error: 1.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2778, f_measure: 0.3058, kappa: -0.2199, kb_relative_information_score: -4321.501, mean_absolute_error: 0.6818, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3821, predictive_accuracy: 0.3171, prior_entropy: 0.9335, recall: 0.3171, relative_absolute_error: 1.5002, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7964, root_relative_squared_error: 1.6709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2125, f_measure: 0.238, kappa: -0.2997, kb_relative_information_score: -5063.1095, mean_absolute_error: 0.7185, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.2997, predictive_accuracy: 0.2602, prior_entropy: 0.9335, recall: 0.2602, relative_absolute_error: 1.5809, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7917, root_relative_squared_error: 1.6609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2252, f_measure: 0.245, kappa: -0.3129, kb_relative_information_score: -4327.9746, mean_absolute_error: 0.6679, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.305, predictive_accuracy: 0.2605, prior_entropy: 0.9335, recall: 0.2605, relative_absolute_error: 1.4695, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.718, root_relative_squared_error: 1.5064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2055, f_measure: 0.2996, kappa: -0.3655, kb_relative_information_score: -4827.724, mean_absolute_error: 0.7105, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.342, predictive_accuracy: 0.2871, prior_entropy: 0.9335, recall: 0.2871, relative_absolute_error: 1.5634, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8218, root_relative_squared_error: 1.7241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2266, f_measure: 0.274, kappa: -0.3184, kb_relative_information_score: -4293.3682, mean_absolute_error: 0.6676, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3314, predictive_accuracy: 0.2764, prior_entropy: 0.9335, recall: 0.2764, relative_absolute_error: 1.4689, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.721, root_relative_squared_error: 1.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2094, f_measure: 0.241, kappa: -0.2987, kb_relative_information_score: -5066.341, mean_absolute_error: 0.7189, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.3032, predictive_accuracy: 0.262, prior_entropy: 0.9335, recall: 0.262, relative_absolute_error: 1.5817, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.7912, root_relative_squared_error: 1.6599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.7198, kappa: 0.3728, kb_relative_information_score: 1976.4813, mean_absolute_error: 0.3369, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7189, predictive_accuracy: 0.7273, prior_entropy: 0.9335, recall: 0.7273, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.7147, kappa: 0.3689, kb_relative_information_score: 1934.7751, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7134, predictive_accuracy: 0.7163, prior_entropy: 0.9335, recall: 0.7163, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7338, kappa: 0.4065, kb_relative_information_score: 2707.0456, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4545, number_of_instances: 7680, precision: 0.7323, predictive_accuracy: 0.7385, prior_entropy: 0.9335, recall: 0.7385, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.9311,

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