Task
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 145836 Supervised Classification blood-transfusion-service-center 78885 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7535, kappa: 0.275, kb_relative_information_score: 91.904, mean_absolute_error: 0.3153, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7539, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.7188, kappa: 0.1671, kb_relative_information_score: 27.5147, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7155, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8836, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.6701, kappa: 0.0212, kb_relative_information_score: 27.3794, mean_absolute_error: 0.3417, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6621, predictive_accuracy: 0.7527, prior_entropy: 0.7928, recall: 0.7527, relative_absolute_error: 0.9413, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.7698, kappa: 0.3329, kb_relative_information_score: 98.0272, mean_absolute_error: 0.3143, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7661, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.8658, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.536, f_measure: 0.6739, kappa: 0.0368, kb_relative_information_score: 17.1952, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.714, predictive_accuracy: 0.7634, prior_entropy: 0.7928, recall: 0.7634, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.7443, kappa: 0.2501, kb_relative_information_score: 59.3929, mean_absolute_error: 0.3157, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7406, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8695, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4271, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.7596, kappa: 0.3093, kb_relative_information_score: 102.8011, mean_absolute_error: 0.2944, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7539, predictive_accuracy: 0.7727, prior_entropy: 0.7928, recall: 0.7727, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7379, kappa: 0.2353, kb_relative_information_score: 70.8318, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7313, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.7277, kappa: 0.1898, kb_relative_information_score: 29.8877, mean_absolute_error: 0.3194, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7426, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4098, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6839, kappa: 0.0637, kb_relative_information_score: 46.0438, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7269, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8905, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.9428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 194.0011, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.6551, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.1406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.7494, kappa: 0.2701, kb_relative_information_score: 81.1635, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7442, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4129, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7133, kappa: 0.1475, kb_relative_information_score: 58.7691, mean_absolute_error: 0.3102, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7149, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4139, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.4854, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7132, f_measure: 0.754, kappa: 0.2795, kb_relative_information_score: 96.8435, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7518, predictive_accuracy: 0.7781, prior_entropy: 0.7928, recall: 0.7781, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.6784, kappa: 0.0504, kb_relative_information_score: 38.2692, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.752, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: -0.4854, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.746, kappa: 0.2569, kb_relative_information_score: 92.8001, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7417, predictive_accuracy: 0.7701, prior_entropy: 0.7928, recall: 0.7701, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.562, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6687, f_measure: 0.7182, kappa: 0.1673, kb_relative_information_score: 45.7454, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7121, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7053, f_measure: 0.7072, kappa: 0.1282, kb_relative_information_score: 16.1342, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7286, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.9477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7717, kappa: 0.3475, kb_relative_information_score: 103.563, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7668, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.7142, kappa: 0.1522, kb_relative_information_score: 107.8954, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7112, predictive_accuracy: 0.7567, prior_entropy: 0.7928, recall: 0.7567, relative_absolute_error: 0.7942, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4293, root_relative_squared_error: 1.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 191.4094, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.1488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7107, kappa: 0.1436, kb_relative_information_score: 98.7702, mean_absolute_error: 0.2925, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7036, predictive_accuracy: 0.75, prior_entropy: 0.7928, recall: 0.75, relative_absolute_error: 0.8056, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4312, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7311, kappa: 0.2229, kb_relative_information_score: 63.0314, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7228, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8389, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4277, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6591, kb_relative_information_score: 194.5127, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7717, kappa: 0.3475, kb_relative_information_score: 103.563, mean_absolute_error: 0.3036, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7668, predictive_accuracy: 0.7821, prior_entropy: 0.7928, recall: 0.7821, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7401, kappa: 0.2517, kb_relative_information_score: 59.7324, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7328, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.714, kappa: 0.1543, kb_relative_information_score: 103.5866, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7071, predictive_accuracy: 0.7513, prior_entropy: 0.7928, recall: 0.7513, relative_absolute_error: 0.7978, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.7341, kappa: 0.2233, kb_relative_information_score: 81.6213, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7271, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.8293, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.412, root_relative_squared_error: 0.9676, scimark_benchmark: 1750.3868, usercpu_time_millis: 9.104, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 8.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7334, kappa: 0.2329, kb_relative_information_score: 58.7169, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7255, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4367, root_relative_squared_error: 1.0254, scimark_benchmark: 1748.6032, usercpu_time_millis: 7.83, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 7.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.7517, kappa: 0.2748, kb_relative_information_score: 99.6889, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4, root_relative_squared_error: 0.9393, scimark_benchmark: 1722.8407, usercpu_time_millis: 5.011, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 4.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 97.7641, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7928, recall: 0.7754, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.398, root_relative_squared_error: 0.9347, scimark_benchmark: 1743.6532, usercpu_time_millis: 6.779, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 6.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7239, f_measure: 0.7547, kappa: 0.2833, kb_relative_information_score: 95.4324, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7513, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3993, root_relative_squared_error: 0.9376, scimark_benchmark: 1735.3254, usercpu_time_millis: 2.107, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 1.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7226, f_measure: 0.7041, kappa: 0.1196, kb_relative_information_score: 63.3808, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.703, predictive_accuracy: 0.7553, prior_entropy: 0.7928, recall: 0.7553, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.9353, scimark_benchmark: 1748.9284, usercpu_time_millis: 1.912, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7621, kappa: 0.3024, kb_relative_information_score: 99.0486, mean_absolute_error: 0.3028, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7622, predictive_accuracy: 0.7861, prior_entropy: 0.7928, recall: 0.7861, relative_absolute_error: 0.834, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.9278, scimark_benchmark: 1749.1199, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.7379, kappa: 0.2209, kb_relative_information_score: 73.9917, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7524, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9256, scimark_benchmark: 1745.4265, usercpu_time_millis: 1.487, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.7427, kappa: 0.2388, kb_relative_information_score: 81.182, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7461, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9261, scimark_benchmark: 1744.4636, usercpu_time_millis: 2.029, usercpu_time_millis_testing: 0.242, usercpu_time_millis_training: 1.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7106, f_measure: 0.7446, kappa: 0.2557, kb_relative_information_score: 85.6487, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.9568, scimark_benchmark: 1740.8392, usercpu_time_millis: 2.307, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 2.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.7507, kappa: 0.2648, kb_relative_information_score: 87.5249, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.753, predictive_accuracy: 0.7807, prior_entropy: 0.7928, recall: 0.7807, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.925, scimark_benchmark: 1737.3245, usercpu_time_millis: 1.906, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 1.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.6591, kb_relative_information_score: 0.0439, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1746.226, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.139,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.7467, kappa: 0.2609, kb_relative_information_score: 86.7213, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7415, predictive_accuracy: 0.7687, prior_entropy: 0.7928, recall: 0.7687, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.9544, scimark_benchmark: 1872.5609, usercpu_time_millis: 2.779, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 2.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.7152, kappa: 0.1523, kb_relative_information_score: 70.269, mean_absolute_error: 0.3183, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7259, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8769, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.9278, scimark_benchmark: 1752.7399, usercpu_time_millis: 0.55, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.6762, kappa: 0.045, kb_relative_information_score: 47.6231, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7634, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.9043, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.9375, scimark_benchmark: 1770.6003, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.7047, kappa: 0.1208, kb_relative_information_score: 66.7337, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.725, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.9283, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7169, f_measure: 0.773, kappa: 0.3411, kb_relative_information_score: 86.8398, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7703, predictive_accuracy: 0.7901, prior_entropy: 0.7928, recall: 0.7901, relative_absolute_error: 0.8451, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.9305, scimark_benchmark: 1862.4223, usercpu_time_millis: 0.396, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.7446, kappa: 0.2557, kb_relative_information_score: 84.1508, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7388, predictive_accuracy: 0.766, prior_entropy: 0.7928, recall: 0.766, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.9519, scimark_benchmark: 1874.977, usercpu_time_millis: 0.698, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 28.9316, mean_absolute_error: 0.3318, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7928, recall: 0.7607, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4023, root_relative_squared_error: 0.9448, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.974, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: 0.107, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1864.4376, usercpu_time_millis: 0.764, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.6591, kb_relative_information_score: 0.5143, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1863.066, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.6578, kappa: -0.0053, kb_relative_information_score: 38.8644, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5802, predictive_accuracy: 0.7594, prior_entropy: 0.7928, recall: 0.7594, relative_absolute_error: 0.9171, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9439, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4966, f_measure: 0.6591, kb_relative_information_score: -0.1417, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.269, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7316, f_measure: 0.7416, kappa: 0.237, kb_relative_information_score: 91.4759, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7741, prior_entropy: 0.7928, recall: 0.7741, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.9288, scimark_benchmark: 1863.066, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.6591, kb_relative_information_score: 0.4301, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1866.2237, usercpu_time_millis: 0.824, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.1965, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1862.0186, usercpu_time_millis: 1.324, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7344, kappa: 0.2295, kb_relative_information_score: 77.3718, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7266, predictive_accuracy: 0.754, prior_entropy: 0.7928, recall: 0.754, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.9791, scimark_benchmark: 1868.784, usercpu_time_millis: 1.157, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.6678, kappa: 0.0227, kb_relative_information_score: 33.5153, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7613, predictive_accuracy: 0.7647, prior_entropy: 0.7928, recall: 0.7647, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4003, root_relative_squared_error: 0.94, scimark_benchmark: 1856.2273, usercpu_time_millis: 0.07, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7303, kappa: 0.2196, kb_relative_information_score: 67.988, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7218, predictive_accuracy: 0.7487, prior_entropy: 0.7928, recall: 0.7487, relative_absolute_error: 0.8382, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4215, root_relative_squared_error: 0.9898, scimark_benchmark: 1768.741, usercpu_time_millis: 8.714, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 7.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.7367, kappa: 0.2336, kb_relative_information_score: 79.858, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7295, predictive_accuracy: 0.758, prior_entropy: 0.7928, recall: 0.758, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.9715, scimark_benchmark: 1868.2531, usercpu_time_millis: 9.222, usercpu_time_millis_testing: 0.927, usercpu_time_millis_training: 8.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.707, f_measure: 0.7495, kappa: 0.2635, kb_relative_information_score: 84.9353, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7485, predictive_accuracy: 0.7767, prior_entropy: 0.7928, recall: 0.7767, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.9518, scimark_benchmark: 1773.5888, usercpu_time_millis: 8.29, usercpu_time_millis_testing: 0.924, usercpu_time_millis_training: 7.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.7448, kappa: 0.255, kb_relative_information_score: 95.0994, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7395, predictive_accuracy: 0.7674, prior_entropy: 0.7928, recall: 0.7674, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.9488, scimark_benchmark: 1772.5857, usercpu_time_millis: 3.373, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 3.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.761, kappa: 0.2996, kb_relative_information_score: 97.2887, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7605, predictive_accuracy: 0.7848, prior_entropy: 0.7928, recall: 0.7848, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.922, scimark_benchmark: 1793.9303, usercpu_time_millis: 4.152, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 3.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.5989, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1762.7568, usercpu_time_millis: 1.054, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 0.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.6591, kb_relative_information_score: 0.3656, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1766.0486, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.6591, kb_relative_information_score: 0.0665, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5807, predictive_accuracy: 0.762, prior_entropy: 0.7928, recall: 0.762, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4258, root_relative_squared_error: 1, scimark_benchmark: 1771.1941, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7209, f_measure: 0.7444, kappa: 0.2493, kb_relative_information_score: 87.8915, mean_absolute_error: 0.3082, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7416, predictive_accuracy: 0.7714, prior_entropy: 0.7928, recall: 0.7714, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.9343, scimark_benchmark: 1764.7557, usercpu_time_millis: 0.771, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.635,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs