Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 19920 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

19920 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 72.5546, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 1.1184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7072, kappa: 0.5564, kb_relative_information_score: 1655.0758, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7181, predictive_accuracy: 0.7132, prior_entropy: 1.7151, recall: 0.7132, relative_absolute_error: 0.8472, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.8713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8664, kappa: 0.798, kb_relative_information_score: 4224.5795, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8664, predictive_accuracy: 0.8664, prior_entropy: 1.7151, recall: 0.8664, relative_absolute_error: 0.2855, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.5491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9696, kappa: 0.954, kb_relative_information_score: 5130.9788, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 1.7151, recall: 0.9696, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.107, root_relative_squared_error: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9428, kappa: 0.9138, kb_relative_information_score: 4915.814, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9427, predictive_accuracy: 0.943, prior_entropy: 1.7151, recall: 0.943, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5403.8022, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0118, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0428, root_relative_squared_error: 0.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5296, kappa: 0.3599, kb_relative_information_score: 2261.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6264, predictive_accuracy: 0.5258, prior_entropy: 1.7151, recall: 0.5258, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8672, kappa: 0.7989, kb_relative_information_score: 4275.3162, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8674, predictive_accuracy: 0.8673, prior_entropy: 1.7151, recall: 0.8673, relative_absolute_error: 0.2699, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.5298, kappa: 0.3601, kb_relative_information_score: 2261.1778, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6265, predictive_accuracy: 0.526, prior_entropy: 1.7151, recall: 0.526, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5409.1238, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.5689, kappa: 0.3901, kb_relative_information_score: 2102.9425, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6248, predictive_accuracy: 0.5598, prior_entropy: 1.7151, recall: 0.5598, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.873, kappa: 0.808, kb_relative_information_score: 4395.4298, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.873, predictive_accuracy: 0.8732, prior_entropy: 1.7151, recall: 0.8732, relative_absolute_error: 0.2377, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9794, kappa: 0.969, kb_relative_information_score: 5282.3028, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 1.7151, recall: 0.9795, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.249, usercpu_time_millis: 0.47, usercpu_time_millis_training: 0.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.5429, kappa: 0.3778, kb_relative_information_score: 1984.6754, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6154, predictive_accuracy: 0.5484, prior_entropy: 1.7151, recall: 0.5484, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.2326, kb_relative_information_score: 0.3924, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.1633, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5015.7434, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.2296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5433.6206, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0337, root_relative_squared_error: 0.0829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.857, kappa: 0.7844, kb_relative_information_score: 4266.9024, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8573, predictive_accuracy: 0.8569, prior_entropy: 1.7151, recall: 0.8569, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9405, kappa: 0.9101, kb_relative_information_score: 4938.7857, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 1.7151, recall: 0.9406, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9879, kappa: 0.9817, kb_relative_information_score: 5330.246, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7151, recall: 0.9879, relative_absolute_error: 0.0223, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0765, root_relative_squared_error: 0.1879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.53, kappa: 0.3602, kb_relative_information_score: 2260.9292, mean_absolute_error: 0.2365, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6263, predictive_accuracy: 0.5262, prior_entropy: 1.7151, recall: 0.5262, relative_absolute_error: 0.7138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4371, root_relative_squared_error: 1.0741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.5359, kappa: 0.3668, kb_relative_information_score: 2316.9006, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6315, predictive_accuracy: 0.5317, prior_entropy: 1.7151, recall: 0.5317, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5333.3674, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9911, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0285, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5409.1238, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0084, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.5439, kappa: 0.3383, kb_relative_information_score: 1309.6921, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6333, predictive_accuracy: 0.5878, prior_entropy: 1.7151, recall: 0.5878, relative_absolute_error: 0.8916, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.377, root_relative_squared_error: 0.9265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8589, kappa: 0.7897, kb_relative_information_score: 4463.4277, mean_absolute_error: 0.0719, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8673, predictive_accuracy: 0.8574, prior_entropy: 1.7151, recall: 0.8574, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.6285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.5325, kappa: 0.363, kb_relative_information_score: 2278.2721, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6285, predictive_accuracy: 0.5286, prior_entropy: 1.7151, recall: 0.5286, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4343, root_relative_squared_error: 1.0672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5298.095, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0449, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.1289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7058, f_measure: 0.5032, kappa: 0.2976, kb_relative_information_score: 1110.014, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.5271, predictive_accuracy: 0.5673, prior_entropy: 1.7151, recall: 0.5673, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.384, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.7082, kappa: 0.5573, kb_relative_information_score: 1511.8181, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7195, predictive_accuracy: 0.7141, prior_entropy: 1.7151, recall: 0.7141, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.8631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.708, kappa: 0.557, kb_relative_information_score: 1652.6412, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7192, predictive_accuracy: 0.7139, prior_entropy: 1.7151, recall: 0.7139, relative_absolute_error: 0.8473, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.53, kappa: 0.3602, kb_relative_information_score: 72.7538, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6263, predictive_accuracy: 0.5262, prior_entropy: 1.7151, recall: 0.5262, relative_absolute_error: 1.1184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.428, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9916, kappa: 0.9873, kb_relative_information_score: 5364.9598, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9918, predictive_accuracy: 0.9916, prior_entropy: 1.7151, recall: 0.9916, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.6207, kappa: 0.4388, kb_relative_information_score: 2301.4774, mean_absolute_error: 0.2292, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6486, predictive_accuracy: 0.6292, prior_entropy: 1.7151, recall: 0.6292, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8147, kappa: 0.7194, kb_relative_information_score: 3565.2806, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8228, predictive_accuracy: 0.8173, prior_entropy: 1.7151, recall: 0.8173, relative_absolute_error: 0.4171, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.6324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5404.3004, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0395, root_relative_squared_error: 0.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6178, f_measure: 0.43, kappa: 0.1509, kb_relative_information_score: 577.896, mean_absolute_error: 0.3159, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4397, predictive_accuracy: 0.4848, prior_entropy: 1.7151, recall: 0.4848, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.9857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9867, kb_relative_information_score: 5136.7316, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 1.7151, recall: 0.9912, relative_absolute_error: 0.0895, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0762, root_relative_squared_error: 0.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8244, kappa: 0.7311, kb_relative_information_score: 4026.4323, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8443, predictive_accuracy: 0.8257, prior_entropy: 1.7151, recall: 0.8257, relative_absolute_error: 0.2631, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9985, kappa: 0.9978, kb_relative_information_score: 5440.7463, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 1.7151, recall: 0.9985, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0258, root_relative_squared_error: 0.0635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5302.4494, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0571, root_relative_squared_error: 0.1403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.7326, kappa: 0.5927, kb_relative_information_score: 2818.9373, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7429, predictive_accuracy: 0.7355, prior_entropy: 1.7151, recall: 0.7355, relative_absolute_error: 0.5938, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5313.0789, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0511, root_relative_squared_error: 0.1257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.4697, kappa: 0.2207, kb_relative_information_score: 870.2664, mean_absolute_error: 0.3042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.4442, predictive_accuracy: 0.5202, prior_entropy: 1.7151, recall: 0.5202, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 341.6747, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.0645, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4073, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5366.942, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.8933, kappa: 0.8387, kb_relative_information_score: 4307.9645, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8934, predictive_accuracy: 0.8933, prior_entropy: 1.7151, recall: 0.8933, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.5302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9947, kappa: 0.992, kb_relative_information_score: 5355.0586, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9947, predictive_accuracy: 0.9947, prior_entropy: 1.7151, recall: 0.9947, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5288.6152, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0556, root_relative_squared_error: 0.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 499.2101, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 1.0366, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.9744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.6928, kappa: 0.5733, kb_relative_information_score: 2790.3385, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7776, predictive_accuracy: 0.7313, prior_entropy: 1.7151, recall: 0.7313, relative_absolute_error: 0.5524, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3145, root_relative_squared_error: 0.7729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5195.2666, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0669, root_relative_squared_error: 0.1644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 328.7353, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 1.0676, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8954, kappa: 0.8417, kb_relative_information_score: 4097.8881, mean_absolute_error: 0.1079, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8955, predictive_accuracy: 0.8957, prior_entropy: 1.7151, recall: 0.8957, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.5345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5385.4048, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 5430.3761, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7151, recall: 0.9974, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.035, root_relative_squared_error: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8557, kappa: 0.7807, kb_relative_information_score: 3977.0811, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8616, predictive_accuracy: 0.8565, prior_entropy: 1.7151, recall: 0.8565, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8954, f_measure: 0.7014, kappa: 0.5442, kb_relative_information_score: 2471.3797, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7964, predictive_accuracy: 0.7089, prior_entropy: 1.7151, recall: 0.7089, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.7564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.984, kappa: 0.9759, kb_relative_information_score: 4651.7587, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.984, predictive_accuracy: 0.9841, prior_entropy: 1.7151, recall: 0.9841, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.129, root_relative_squared_error: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5344.3025, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9886, kappa: 0.9828, kb_relative_information_score: 4847.255, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9886, predictive_accuracy: 0.9886, prior_entropy: 1.7151, recall: 0.9886, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.6225, kappa: 0.4399, kb_relative_information_score: 2312.8077, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6504, predictive_accuracy: 0.6312, prior_entropy: 1.7151, recall: 0.6312, relative_absolute_error: 0.6873, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5395.1152, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9967, kappa: 0.995, kb_relative_information_score: 5403.894, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 1.7151, recall: 0.9967, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0403, root_relative_squared_error: 0.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9297, kappa: 0.8938, kb_relative_information_score: 4754.1991, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9297, predictive_accuracy: 0.9298, prior_entropy: 1.7151, recall: 0.9298, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5362.8588, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0248, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.1097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.961, kappa: 0.9417, kb_relative_information_score: 157.4079, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9623, predictive_accuracy: 0.9615, prior_entropy: 1.7151, recall: 0.9615, relative_absolute_error: 1.0954, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7718, kappa: 0.6551, kb_relative_information_score: 3273.5391, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7769, predictive_accuracy: 0.7762, prior_entropy: 1.7151, recall: 0.7762, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.6836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8375, kappa: 0.7532, kb_relative_information_score: 3668.0489, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.839, predictive_accuracy: 0.8385, prior_entropy: 1.7151, recall: 0.8385, relative_absolute_error: 0.4177, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.25, root_relative_squared_error: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9711, kappa: 0.9563, kb_relative_information_score: 126.9583, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9728, predictive_accuracy: 0.9709, prior_entropy: 1.7151, recall: 0.9709, relative_absolute_error: 1.101, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8752, kappa: 0.811, kb_relative_information_score: 4045.5394, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8755, predictive_accuracy: 0.8755, prior_entropy: 1.7151, recall: 0.8755, relative_absolute_error: 0.334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.5435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.6468, kappa: 0.4716, kb_relative_information_score: 2304.6973, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6547, predictive_accuracy: 0.6514, prior_entropy: 1.7151, recall: 0.6514, relative_absolute_error: 0.6943, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9012, kappa: 0.8511, kb_relative_information_score: 3913.0461, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9019, predictive_accuracy: 0.9016, prior_entropy: 1.7151, recall: 0.9016, relative_absolute_error: 0.3795, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.22, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.7591, kappa: 0.6302, kb_relative_information_score: 2945.4047, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8153, predictive_accuracy: 0.7621, prior_entropy: 1.7151, recall: 0.7621, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 534.7547, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9844, kappa: 0.9764, kb_relative_information_score: 266.4563, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9845, predictive_accuracy: 0.9844, prior_entropy: 1.7151, recall: 0.9844, relative_absolute_error: 1.0763, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 197.7329, mean_absolute_error: 0.3616, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 1.0916, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4176, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 5435.88, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0289, root_relative_squared_error: 0.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 5437.5904, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.7837, kappa: 0.6717, kb_relative_information_score: 3236.2667, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.7897, predictive_accuracy: 0.7868, prior_entropy: 1.7151, recall: 0.7868, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5397.1155, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.1003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 5422.9475, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5028.2212, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 5436.282, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0293, root_relative_squared_error: 0.0719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9938, kappa: 0.9906, kb_relative_information_score: 5352.8033, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 1.7151, recall: 0.9938, relative_absolute_error: 0.0268, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.6183, kappa: 0.4294, kb_relative_information_score: 2149.3008, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.6361, predictive_accuracy: 0.6254, prior_entropy: 1.7151, recall: 0.6254, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.8614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9288, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5381.1026, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0188, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5341.3054, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0317, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.1158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5432.5066, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0338, root_relative_squared_error: 0.0831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5323.4877, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0346, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 336.7596, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7151, recall: 0.9973, relative_absolute_error: 1.0655, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9647, kappa: 0.9467, kb_relative_information_score: 293.8737, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9662, predictive_accuracy: 0.965, prior_entropy: 1.7151, recall: 0.965, relative_absolute_error: 1.0709, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5395.4764, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.04, root_relative_squared_error: 0.0984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 402.447, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 1.0555, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, kb_relative_information_score: 0.9276, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.4041, prior_entropy: 1.7151, recall: 0.4041, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4069, root_relative_squared_error: 1,

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