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OpenML
Task
Supervised Classification on diggle_table_a2

Supervised Classification on diggle_table_a2

Task 3683 Supervised Classification diggle_table_a2 538 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 293.3015, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.2655, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 299.9286, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.127, root_relative_squared_error: 0.2545, scimark_benchmark: 1312.3073, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8745, kappa: 0.7498, kb_relative_information_score: 233.5356, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9004, predictive_accuracy: 0.8774, prior_entropy: 0.997, recall: 0.8774, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7017, scimark_benchmark: 887.6719, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.913, kappa: 0.8253, kb_relative_information_score: 255.6666, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9132, predictive_accuracy: 0.9129, prior_entropy: 0.997, recall: 0.9129, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5915, scimark_benchmark: 1297.6599, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 301.3109, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0332, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.1309, scimark_benchmark: 1386.5717, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9774, kappa: 0.9547, kb_relative_information_score: 295.9047, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.978, predictive_accuracy: 0.9774, prior_entropy: 0.997, recall: 0.9774, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.3012, scimark_benchmark: 940.3347, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9807, kappa: 0.9612, kb_relative_information_score: 272.1045, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.2948, scimark_benchmark: 937.1527, usercpu_time_millis: 510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9742, kappa: 0.948, kb_relative_information_score: 295.8271, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9748, predictive_accuracy: 0.9742, prior_entropy: 0.997, recall: 0.9742, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.279, scimark_benchmark: 1290.1085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 299.8824, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0323, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2216, scimark_benchmark: 1331.6907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9871, kappa: 0.9741, kb_relative_information_score: 300.9173, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9871, predictive_accuracy: 0.9871, prior_entropy: 0.997, recall: 0.9871, relative_absolute_error: 0.0296, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2059, scimark_benchmark: 1304.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9935, kappa: 0.987, kb_relative_information_score: 302.8669, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.997, recall: 0.9935, relative_absolute_error: 0.0255, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.1577, scimark_benchmark: 1250.8301, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 306.4627, mean_absolute_error: 0.0071, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0357, root_relative_squared_error: 0.0716, scimark_benchmark: 1318.1432, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 1280.6952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 1319.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 1336.3256, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 1291.6995, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9387, kappa: 0.8779, kb_relative_information_score: 271.7618, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9458, predictive_accuracy: 0.9387, prior_entropy: 0.997, recall: 0.9387, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.4962, scimark_benchmark: 1337.7959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 1392.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, f_measure: 0.3698, kb_relative_information_score: -0.0596, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0001, scimark_benchmark: 1418.5826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9483, kappa: 0.8961, kb_relative_information_score: 278.8919, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9489, predictive_accuracy: 0.9484, prior_entropy: 0.997, recall: 0.9484, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4233, scimark_benchmark: 931.2336, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9677, kappa: 0.9351, kb_relative_information_score: 289.2777, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 0.997, recall: 0.9677, relative_absolute_error: 0.0679, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3333, scimark_benchmark: 945.6434, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9806, kappa: 0.9611, kb_relative_information_score: 293.6257, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.2542, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 295.4775, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2314, scimark_benchmark: 923.7642, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 295.379, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2308, scimark_benchmark: 894.7455, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 938.2848,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 936.6206, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.0385, build_memory: 1507740196.8, f_measure: 0.9807, kappa: 0.9612, kb_relative_information_score: 293.5405, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9807, predictive_accuracy: 0.9806, prior_entropy: 0.997, recall: 0.9806, relative_absolute_error: 0.0573, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.2392, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, build_cpu_time: 0.0471, build_memory: 832811691.2, f_measure: 0.9839, kappa: 0.9676, kb_relative_information_score: 295.3702, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9839, predictive_accuracy: 0.9839, prior_entropy: 0.997, recall: 0.9839, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2308, scimark_benchmark: 937.9119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2872, build_memory: 20959910.4, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2049, build_memory: 45791696.8, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2021, build_memory: 165660781.6, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.201, build_memory: 189457880.8, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9881, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 933.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.2961, build_memory: 531129148, f_measure: 1, kappa: 1, kb_relative_information_score: 308.9951, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.02, root_relative_squared_error: 0.0401, scimark_benchmark: 931.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.2664, build_memory: 2616473579.2, f_measure: 1, kappa: 1, kb_relative_information_score: 308.9951, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.02, root_relative_squared_error: 0.0401, scimark_benchmark: 942.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.2185, build_memory: 890238347.2, f_measure: 1, kappa: 1, kb_relative_information_score: 308.9951, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.02, root_relative_squared_error: 0.0401, scimark_benchmark: 936.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 1.3581, build_memory: 2382994167.2, f_measure: 1, kappa: 1, kb_relative_information_score: 308.9951, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.02, root_relative_squared_error: 0.0401, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.1831, build_memory: 488458326.4, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9825, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.1708, build_memory: 262582607.2, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9825, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 944.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.201, build_memory: 748159792.8, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9825, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.1848, build_memory: 978953245.6, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9825, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 919.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.2607, build_memory: 204988279.2, f_measure: 1, kappa: 1, kb_relative_information_score: 309.9825, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 0.0079, build_memory: 1057185444.8, f_measure: 0.9968, kappa: 0.9935, kb_relative_information_score: 307.9762, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.4979, number_of_instances: 310, precision: 0.9968, predictive_accuracy: 0.9968, prior_entropy: 0.997, recall: 0.9968, relative_absolute_error: 0.0065, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1138, scimark_benchmark: 933.4498,

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