OpenML
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 279 Supervised Classification tic-tac-toe 389 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.6576, kappa: 0.2983, kb_relative_information_score: 45.7716, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8051, predictive_accuracy: 0.7152, prior_entropy: 0.9312, recall: 0.7152, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9159, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9391, kappa: 0.8701, kb_relative_information_score: 86.919, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9419, predictive_accuracy: 0.9399, prior_entropy: 0.9312, recall: 0.9399, relative_absolute_error: 0.8009, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7813, scimark_benchmark: 936.7184, usercpu_time_millis: 360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 942.3809, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8782, kappa: 0.7387, kb_relative_information_score: 166.1994, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8966, predictive_accuracy: 0.8829, prior_entropy: 0.9312, recall: 0.8829, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6498, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9841, kappa: 0.9664, kb_relative_information_score: 264.4651, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3348, scimark_benchmark: 946.6409, usercpu_time_millis: 24900, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 24570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 1295.609, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9841, kappa: 0.9664, kb_relative_information_score: 264.4636, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9843, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.2366, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3348, scimark_benchmark: 1354.5533, usercpu_time_millis: 12270, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 12080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7678, kappa: 0.5019, kb_relative_information_score: 145.4828, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8514, scimark_benchmark: 1327.5842, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 1333.1149, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.7164, kappa: 0.396, kb_relative_information_score: 135.6383, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7563, predictive_accuracy: 0.7405, prior_entropy: 0.9312, recall: 0.7405, relative_absolute_error: 0.5722, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.94, scimark_benchmark: 940.0055, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.7273, kappa: 0.4263, kb_relative_information_score: 130.5779, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8133, predictive_accuracy: 0.7595, prior_entropy: 0.9312, recall: 0.7595, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9801, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.844, kappa: 0.6831, kb_relative_information_score: 143.0368, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.868, predictive_accuracy: 0.8418, prior_entropy: 0.9312, recall: 0.8418, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7087, scimark_benchmark: 869.7548, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.847, kappa: 0.6852, kb_relative_information_score: 128.9794, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8613, predictive_accuracy: 0.8449, prior_entropy: 0.9312, recall: 0.8449, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7321, scimark_benchmark: 934.1885, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 317.9628, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2308, scimark_benchmark: 1331.0047, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7678, kappa: 0.5019, kb_relative_information_score: 145.4828, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8514, scimark_benchmark: 1323.5075, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, f_measure: 0.7081, kappa: 0.3771, kb_relative_information_score: 76.3205, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7402, predictive_accuracy: 0.731, prior_entropy: 0.9312, recall: 0.731, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.8731, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 1323.5075, usercpu_time_millis: 330, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1405.2896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1364.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1322.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8188, kappa: 0.6129, kb_relative_information_score: 205.2515, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8681, predictive_accuracy: 0.8323, prior_entropy: 0.9312, recall: 0.8323, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8402, scimark_benchmark: 1274.7011, usercpu_time_millis: 310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.844, kappa: 0.6831, kb_relative_information_score: 143.0368, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.868, predictive_accuracy: 0.8418, prior_entropy: 0.9312, recall: 0.8418, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7087, scimark_benchmark: 1337.4384, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8921, kappa: 0.7685, kb_relative_information_score: 162.9292, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9063, predictive_accuracy: 0.8956, prior_entropy: 0.9312, recall: 0.8956, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6387, scimark_benchmark: 1357.7543, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1318.2298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7678, kappa: 0.5019, kb_relative_information_score: 145.4828, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8514, scimark_benchmark: 1360.0477, usercpu_time_millis: 670, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 1316.7198, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 317.9628, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.0273, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2308, scimark_benchmark: 939.449, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9038, kappa: 0.7946, kb_relative_information_score: 248.376, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9064, predictive_accuracy: 0.9051, prior_entropy: 0.9312, recall: 0.9051, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.5659, scimark_benchmark: 1321.6263, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9777, kappa: 0.9526, kb_relative_information_score: 206.1055, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9786, predictive_accuracy: 0.9778, prior_entropy: 0.9312, recall: 0.9778, relative_absolute_error: 0.4347, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.5226, scimark_benchmark: 937.6212, usercpu_time_millis: 150, usercpu_time_millis_testing: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.471, kb_relative_information_score: 48.8357, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.3808, predictive_accuracy: 0.6171, prior_entropy: 0.9312, recall: 0.6171, relative_absolute_error: 0.825, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.6188, root_relative_squared_error: 1.2695, scimark_benchmark: 912.5006, usercpu_time_millis: 710, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7927, kappa: 0.5585, kb_relative_information_score: 151.7517, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7923, predictive_accuracy: 0.7943, prior_entropy: 0.9312, recall: 0.7943, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4033, root_relative_squared_error: 0.8274, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.802, kappa: 0.5782, kb_relative_information_score: 182.8068, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8019, predictive_accuracy: 0.8038, prior_entropy: 0.9312, recall: 0.8038, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.8809, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9256, kappa: 0.8407, kb_relative_information_score: 174.4555, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9333, predictive_accuracy: 0.9272, prior_entropy: 0.9312, recall: 0.9272, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.6019, scimark_benchmark: 1307.4861, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.7587, kappa: 0.4903, kb_relative_information_score: 90.7991, mean_absolute_error: 0.3587, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8404, predictive_accuracy: 0.7848, prior_entropy: 0.9312, recall: 0.7848, relative_absolute_error: 0.7729, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8071, scimark_benchmark: 1347.5461, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.847, kappa: 0.6852, kb_relative_information_score: 128.9794, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8613, predictive_accuracy: 0.8449, prior_entropy: 0.9312, recall: 0.8449, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7321, scimark_benchmark: 1341.4232, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.847, kappa: 0.6852, kb_relative_information_score: 128.9794, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8613, predictive_accuracy: 0.8449, prior_entropy: 0.9312, recall: 0.8449, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7321, scimark_benchmark: 1331.5882, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9221, kappa: 0.833, kb_relative_information_score: 171.4811, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9324, predictive_accuracy: 0.9241, prior_entropy: 0.9312, recall: 0.9241, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.61, scimark_benchmark: 942.9708, usercpu_time_millis: 990, usercpu_time_millis_testing: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1343.6648, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 950.6776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.847, kappa: 0.6852, kb_relative_information_score: 128.9794, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8613, predictive_accuracy: 0.8449, prior_entropy: 0.9312, recall: 0.8449, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7321, scimark_benchmark: 942.9708, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.8794, kappa: 0.7413, kb_relative_information_score: 163.179, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8907, predictive_accuracy: 0.8829, prior_entropy: 0.9312, recall: 0.8829, relative_absolute_error: 0.555, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6465, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.847, kappa: 0.6852, kb_relative_information_score: 128.9794, mean_absolute_error: 0.2933, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8613, predictive_accuracy: 0.8449, prior_entropy: 0.9312, recall: 0.8449, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7321, scimark_benchmark: 1064.8317, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 242.0568, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9876, predictive_accuracy: 0.9873, prior_entropy: 0.9312, recall: 0.9873, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3899, scimark_benchmark: 1064.8317, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7453, kappa: 0.4568, kb_relative_information_score: 98.6889, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7872, predictive_accuracy: 0.7658, prior_entropy: 0.9312, recall: 0.7658, relative_absolute_error: 0.7266, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8161, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9555, kappa: 0.9054, kb_relative_information_score: 294.3936, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.956, predictive_accuracy: 0.9557, prior_entropy: 0.9312, recall: 0.9557, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2051, root_relative_squared_error: 0.4208, scimark_benchmark: 1260.1387, usercpu_time_millis: 150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7678, kappa: 0.5019, kb_relative_information_score: 145.4828, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7749, predictive_accuracy: 0.7753, prior_entropy: 0.9312, recall: 0.7753, relative_absolute_error: 0.5598, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8514, scimark_benchmark: 1315.933, usercpu_time_millis: 770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8268, kappa: 0.6303, kb_relative_information_score: 194.2677, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.828, predictive_accuracy: 0.8291, prior_entropy: 0.9312, recall: 0.8291, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7554, scimark_benchmark: 1371.9645,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs