OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 49 Supervised Classification tic-tac-toe 111519 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

111519 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: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 949.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 947.8605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9266, kappa: 0.8373, kb_relative_information_score: 582.4154, mean_absolute_error: 0.1966, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9266, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.434, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5558, scimark_benchmark: 888.6771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.902, kappa: 0.7795, kb_relative_information_score: 504.3395, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9103, predictive_accuracy: 0.905, prior_entropy: 0.9312, recall: 0.905, relative_absolute_error: 0.5318, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.6096, scimark_benchmark: 947.3169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 946.3589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.925, kappa: 0.8315, kb_relative_information_score: 537.5088, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9317, predictive_accuracy: 0.9269, prior_entropy: 0.9312, recall: 0.9269, relative_absolute_error: 0.4947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5828, scimark_benchmark: 948.4972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9536, kappa: 0.8965, kb_relative_information_score: 683.1608, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.9541, prior_entropy: 0.9312, recall: 0.9541, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4648, scimark_benchmark: 908.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 947.9609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9282, kappa: 0.8386, kb_relative_information_score: 540.5452, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9353, predictive_accuracy: 0.9301, prior_entropy: 0.9312, recall: 0.9301, relative_absolute_error: 0.4927, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5796, scimark_benchmark: 907.3029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 900.5583, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0623, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1247, root_relative_squared_error: 0.262, scimark_benchmark: 911.2407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8484, kappa: 0.6646, kb_relative_information_score: 621.6851, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8481, predictive_accuracy: 0.8486, prior_entropy: 0.9312, recall: 0.8486, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7297, scimark_benchmark: 912.0596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8484, kappa: 0.6646, kb_relative_information_score: 621.6851, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8481, predictive_accuracy: 0.8486, prior_entropy: 0.9312, recall: 0.8486, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7297, scimark_benchmark: 945.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5165, kb_relative_information_score: -0.1639, mean_absolute_error: 0.453, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 916.4534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.7562, kappa: 0.4489, kb_relative_information_score: 271.5329, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.766, predictive_accuracy: 0.7693, prior_entropy: 0.9312, recall: 0.7693, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.823, scimark_benchmark: 947.0075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 948.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.7945, kappa: 0.5352, kb_relative_information_score: 372.3081, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8124, predictive_accuracy: 0.8069, prior_entropy: 0.9312, recall: 0.8069, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7622, scimark_benchmark: 913.8051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 911.7879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 943.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 946.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8425, kappa: 0.6455, kb_relative_information_score: 561.8856, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8486, predictive_accuracy: 0.8476, prior_entropy: 0.9312, recall: 0.8476, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7133, scimark_benchmark: 947.6457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 614.8443, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4936, scimark_benchmark: 946.6293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 944.3555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9216, kappa: 0.8239, kb_relative_information_score: 534.4151, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9291, predictive_accuracy: 0.9238, prior_entropy: 0.9312, recall: 0.9238, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5882, scimark_benchmark: 944.7692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8651, f_measure: 0.8196, kappa: 0.5932, kb_relative_information_score: 496.9107, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8277, predictive_accuracy: 0.8267, prior_entropy: 0.9312, recall: 0.8267, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7515, scimark_benchmark: 948.3478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 948.3693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 948.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 946.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 121.1671, mean_absolute_error: 0.4008, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.9411, scimark_benchmark: 910.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 910.4985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.5446, kappa: 0.0467, kb_relative_information_score: 221.6259, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.779, predictive_accuracy: 0.666, prior_entropy: 0.9312, recall: 0.666, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.578, root_relative_squared_error: 1.2145, scimark_benchmark: 947.2184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: 194.0231, mean_absolute_error: 0.3466, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 0.765, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5887, root_relative_squared_error: 1.2371, scimark_benchmark: 945.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9885, kappa: 0.9745, kb_relative_information_score: 932.3972, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9886, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2252, scimark_benchmark: 944.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8565, kappa: 0.6802, kb_relative_information_score: 619.2493, mean_absolute_error: 0.1582, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8565, predictive_accuracy: 0.858, prior_entropy: 0.9312, recall: 0.858, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3333, root_relative_squared_error: 0.7005, scimark_benchmark: 947.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.978, kappa: 0.9513, kb_relative_information_score: 893.1044, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0725, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.3035, scimark_benchmark: 926.6794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8348, kappa: 0.6269, kb_relative_information_score: 522.7955, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8476, predictive_accuracy: 0.8424, prior_entropy: 0.9312, recall: 0.8424, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7383, scimark_benchmark: 946.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7616, kappa: 0.4606, kb_relative_information_score: 287.0101, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7777, prior_entropy: 0.9312, recall: 0.7777, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8483, scimark_benchmark: 946.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8326, kappa: 0.6297, kb_relative_information_score: 462.4717, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8323, predictive_accuracy: 0.833, prior_entropy: 0.9312, recall: 0.833, relative_absolute_error: 0.527, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7366, scimark_benchmark: 946.0351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9557, kappa: 0.9015, kb_relative_information_score: 555.3534, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9567, predictive_accuracy: 0.9562, prior_entropy: 0.9312, recall: 0.9562, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.264, root_relative_squared_error: 0.5547, scimark_benchmark: 939.7393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7408, kappa: 0.4163, kb_relative_information_score: 309.626, mean_absolute_error: 0.3077, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.742, predictive_accuracy: 0.7495, prior_entropy: 0.9312, recall: 0.7495, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4062, root_relative_squared_error: 0.8537, scimark_benchmark: 944.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.6864, kappa: 0.292, kb_relative_information_score: 180.9892, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6867, predictive_accuracy: 0.7004, prior_entropy: 0.9312, recall: 0.7004, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9023, scimark_benchmark: 945.8563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 295.2333, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5483, root_relative_squared_error: 1.1522, scimark_benchmark: 946.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 944.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 957.6998, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9312, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 947.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9895, kappa: 0.9768, kb_relative_information_score: 934.6975, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9897, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2147, scimark_benchmark: 946.8834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.7765, kappa: 0.5118, kb_relative_information_score: 469.3797, mean_absolute_error: 0.2217, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7798, predictive_accuracy: 0.7745, prior_entropy: 0.9312, recall: 0.7745, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9519, scimark_benchmark: 916.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9272, kappa: 0.8366, kb_relative_information_score: 540.4104, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9335, predictive_accuracy: 0.929, prior_entropy: 0.9312, recall: 0.929, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2756, root_relative_squared_error: 0.5792, scimark_benchmark: 948.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 678.4643, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2021, root_relative_squared_error: 0.4247, scimark_benchmark: 949.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8583, kappa: 0.684, kb_relative_information_score: 622.7961, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8587, predictive_accuracy: 0.8601, prior_entropy: 0.9312, recall: 0.8601, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3291, root_relative_squared_error: 0.6916, scimark_benchmark: 949.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9885, kappa: 0.9744, kb_relative_information_score: 932.3972, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9887, predictive_accuracy: 0.9885, prior_entropy: 0.9312, recall: 0.9885, relative_absolute_error: 0.0253, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1072, root_relative_squared_error: 0.2252, scimark_benchmark: 945.5115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9446, kappa: 0.8776, kb_relative_information_score: 815.7529, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4693, scimark_benchmark: 909.9575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 922.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 931.24, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1901, scimark_benchmark: 944.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 122.5591, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9407, scimark_benchmark: 940.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 899.1664, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0637, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2536, scimark_benchmark: 901.6707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9906, kappa: 0.9791, kb_relative_information_score: 630.6758, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.4116, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2264, root_relative_squared_error: 0.4757, scimark_benchmark: 917.1782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9233, kappa: 0.8282, kb_relative_information_score: 606.4506, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9272, predictive_accuracy: 0.9248, prior_entropy: 0.9312, recall: 0.9248, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5415, scimark_benchmark: 944.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9833, kappa: 0.9629, kb_relative_information_score: 919.5184, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0382, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.267, scimark_benchmark: 945.1746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808, scimark_benchmark: 941.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9927, kappa: 0.9838, kb_relative_information_score: 941.8065, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9312, recall: 0.9927, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1716, scimark_benchmark: 852.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 931.1554, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0288, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1901, scimark_benchmark: 905.2297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9822, kappa: 0.9604, kb_relative_information_score: 899.8512, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9826, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0634, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.2545, scimark_benchmark: 944.6772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8479, kappa: 0.6627, kb_relative_information_score: 339.0601, mean_absolute_error: 0.3067, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8475, predictive_accuracy: 0.8486, prior_entropy: 0.9312, recall: 0.8486, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.7471, scimark_benchmark: 945.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 905.8414, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.302, scimark_benchmark: 946.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 937.5795, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0207, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.1842, scimark_benchmark: 946.2863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9874, kappa: 0.9721, kb_relative_information_score: 627.27, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9877, predictive_accuracy: 0.9875, prior_entropy: 0.9312, recall: 0.9875, relative_absolute_error: 0.4133, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.4822, scimark_benchmark: 943.0269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9937, kappa: 0.9861, kb_relative_information_score: 943.8759, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9938, predictive_accuracy: 0.9937, prior_entropy: 0.9312, recall: 0.9937, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1663, scimark_benchmark: 934.2133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9523, kappa: 0.8935, kb_relative_information_score: 627.2713, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9549, predictive_accuracy: 0.953, prior_entropy: 0.9312, recall: 0.953, relative_absolute_error: 0.3962, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.5014, scimark_benchmark: 946.2957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9958, kappa: 0.9908, kb_relative_information_score: 948.0369, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9959, predictive_accuracy: 0.9958, prior_entropy: 0.9312, recall: 0.9958, relative_absolute_error: 0.0098, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1346, scimark_benchmark: 944.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9833, kappa: 0.9629, kb_relative_information_score: 922.3055, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9834, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0353, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2581, scimark_benchmark: 945.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.8797, kappa: 0.7306, kb_relative_information_score: 648.9627, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 0.9312, recall: 0.882, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9906, kappa: 0.9792, kb_relative_information_score: 931.24, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9907, predictive_accuracy: 0.9906, prior_entropy: 0.9312, recall: 0.9906, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1901, scimark_benchmark: 881.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9484, kappa: 0.885, kb_relative_information_score: 716.5899, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9493, predictive_accuracy: 0.9489, prior_entropy: 0.9312, recall: 0.9489, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.4798, scimark_benchmark: 883.1156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 920.8961, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 940.5938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9291, kappa: 0.8407, kb_relative_information_score: 541.4809, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9372, predictive_accuracy: 0.9311, prior_entropy: 0.9312, recall: 0.9311, relative_absolute_error: 0.4935, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.5771, scimark_benchmark: 921.6323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9446, kappa: 0.8776, kb_relative_information_score: 815.7529, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9446, predictive_accuracy: 0.9447, prior_entropy: 0.9312, recall: 0.9447, relative_absolute_error: 0.1472, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.4693, scimark_benchmark: 942.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9916, kappa: 0.9815, kb_relative_information_score: 938.7791, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9917, predictive_accuracy: 0.9916, prior_entropy: 0.9312, recall: 0.9916, relative_absolute_error: 0.0191, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1874, scimark_benchmark: 946.2614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 122.5591, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9407, scimark_benchmark: 926.147,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9769, kappa: 0.9489, kb_relative_information_score: 789.7056, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9772, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.2018, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.173, root_relative_squared_error: 0.3636, scimark_benchmark: 944.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 928.9412, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2019, scimark_benchmark: 942.2352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8376, kappa: 0.6384, kb_relative_information_score: 337.8334, mean_absolute_error: 0.3073, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8373, predictive_accuracy: 0.8392, prior_entropy: 0.9312, recall: 0.8392, relative_absolute_error: 0.6784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7484, scimark_benchmark: 916.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9781, kappa: 0.9516, kb_relative_information_score: 887.3003, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 0.9312, recall: 0.9781, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.2727, scimark_benchmark: 942.8328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7069, kappa: 0.3405, kb_relative_information_score: 231.9933, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7059, predictive_accuracy: 0.7161, prior_entropy: 0.9312, recall: 0.7161, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4218, root_relative_squared_error: 0.8865, scimark_benchmark: 941.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9801, kappa: 0.9561, kb_relative_information_score: 912.3413, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9802, predictive_accuracy: 0.9802, prior_entropy: 0.9312, recall: 0.9802, relative_absolute_error: 0.0456, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.977, kappa: 0.9491, kb_relative_information_score: 905.8414, mean_absolute_error: 0.0237, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.977, predictive_accuracy: 0.977, prior_entropy: 0.9312, recall: 0.977, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1437, root_relative_squared_error: 0.302, scimark_benchmark: 946.7155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.926, kappa: 0.8338, kb_relative_information_score: 538.3692, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9331, predictive_accuracy: 0.928, prior_entropy: 0.9312, recall: 0.928, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5819, scimark_benchmark: 946.1978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.756, kappa: 0.4479, kb_relative_information_score: 437.8993, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7762, predictive_accuracy: 0.7735, prior_entropy: 0.9312, recall: 0.7735, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9028, scimark_benchmark: 927.6853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9822, kappa: 0.9605, kb_relative_information_score: 914.5397, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9824, predictive_accuracy: 0.9823, prior_entropy: 0.9312, recall: 0.9823, relative_absolute_error: 0.0445, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1201, root_relative_squared_error: 0.2523, scimark_benchmark: 942.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6733, kappa: 0.2624, kb_relative_information_score: 269.6515, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6725, predictive_accuracy: 0.6879, prior_entropy: 0.9312, recall: 0.6879, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.49, root_relative_squared_error: 1.0298, scimark_benchmark: 939.3857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 932.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9811, kappa: 0.9581, kb_relative_information_score: 900.882, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9815, predictive_accuracy: 0.9812, prior_entropy: 0.9312, recall: 0.9812, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.128, root_relative_squared_error: 0.269, scimark_benchmark: 943.2867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9696, kappa: 0.9326, kb_relative_information_score: 886.5883, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9698, predictive_accuracy: 0.9697, prior_entropy: 0.9312, recall: 0.9697, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3481, scimark_benchmark: 939.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7886, kappa: 0.537, kb_relative_information_score: 491.0386, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7909, predictive_accuracy: 0.7871, prior_entropy: 0.9312, recall: 0.7871, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9245, scimark_benchmark: 926.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9895, kappa: 0.9769, kb_relative_information_score: 928.9412, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9896, predictive_accuracy: 0.9896, prior_entropy: 0.9312, recall: 0.9896, relative_absolute_error: 0.0309, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2019, scimark_benchmark: 940.1629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8558, kappa: 0.6779, kb_relative_information_score: 632.0632, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8566, predictive_accuracy: 0.858, prior_entropy: 0.9312, recall: 0.858, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.333, root_relative_squared_error: 0.6997, scimark_benchmark: 937.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8847, kappa: 0.7416, kb_relative_information_score: 679.5012, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.8882, predictive_accuracy: 0.8873, prior_entropy: 0.9312, recall: 0.8873, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.563, scimark_benchmark: 944.7321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.6874, kappa: 0.2954, kb_relative_information_score: 316.41, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6865, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.6388, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4818, root_relative_squared_error: 1.0124, scimark_benchmark: 941.1998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9749, kappa: 0.9445, kb_relative_information_score: 899.6717, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.9749, predictive_accuracy: 0.9749, prior_entropy: 0.9312, recall: 0.9749, relative_absolute_error: 0.0603, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.2808, scimark_benchmark: 944.4135,

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