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: 0.9978, 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: 1393.8432, usercpu_time_millis: 14400, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 14210,
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: 1354.5533, usercpu_time_millis: 140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 110,
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: 1345.6844,
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: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1337.1928, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, 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: 1325.4787,
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: 1332.9478,
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: 1317.5348, usercpu_time_millis: 16690, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 16500,
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: 1332.7986,
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: 0.9887, 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: 0.9835, 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: 0.9085, 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: 0.781, 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: 1322.2005, usercpu_time_millis: 10, usercpu_time_millis_training: 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: 1336.4701,
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: 929.0363, usercpu_time_millis: 25820, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 25550,
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: 1331.2559, 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: 1350.1007, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
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: 1316.6741, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 0.8712, 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: 0.8264, 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,
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: 0.781, 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: 1331.7953, usercpu_time_millis: 330, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, 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: 1260.1387, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
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: 1322.7257, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
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: 932.5646,
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: 1314.7093,
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: 1341.5795, usercpu_time_millis: 16620, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 16430,
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: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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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: 994.8259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8598, kappa: 0.7016, kb_relative_information_score: 220.4852, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.86, predictive_accuracy: 0.8608, prior_entropy: 0.9312, recall: 0.8608, relative_absolute_error: 0.3233, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.744, scimark_benchmark: 1315.3709, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1386.5717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7108, kappa: 0.3834, kb_relative_information_score: 76.0638, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7454, predictive_accuracy: 0.7342, prior_entropy: 0.9312, recall: 0.7342, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.873, scimark_benchmark: 1358.4523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.7108, kappa: 0.3834, kb_relative_information_score: 76.0638, mean_absolute_error: 0.3642, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7454, predictive_accuracy: 0.7342, prior_entropy: 0.9312, recall: 0.7342, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.873, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1413.089, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9354, kappa: 0.8617, kb_relative_information_score: 145.9299, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9426, predictive_accuracy: 0.9367, prior_entropy: 0.9312, recall: 0.9367, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.6583, scimark_benchmark: 1413.089, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 312.0349, mean_absolute_error: 0.0217, 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: 0.0467, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.2324, scimark_benchmark: 1419.2433, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 311.4535, mean_absolute_error: 0.024, 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: 0.0517, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.226, scimark_benchmark: 1347.7065, usercpu_time_millis: 2430, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.7222, kappa: 0.4039, kb_relative_information_score: 56.2277, mean_absolute_error: 0.3943, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7316, predictive_accuracy: 0.7342, prior_entropy: 0.9312, recall: 0.7342, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4449, root_relative_squared_error: 0.9127, scimark_benchmark: 1367.8403, usercpu_time_millis: 580, usercpu_time_millis_testing: 580,
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: 1334.8495, usercpu_time_millis: 60, usercpu_time_millis_testing: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7034, kappa: 0.3745, kb_relative_information_score: -27.5863, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7045, predictive_accuracy: 0.7025, prior_entropy: 0.9312, recall: 0.7025, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9972, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.8264, kappa: 0.6288, kb_relative_information_score: 209.8519, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8721, predictive_accuracy: 0.8386, prior_entropy: 0.9312, recall: 0.8386, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8242, scimark_benchmark: 1342.5243, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.74, kappa: 0.4466, kb_relative_information_score: 108.7065, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7878, predictive_accuracy: 0.7627, prior_entropy: 0.9312, recall: 0.7627, relative_absolute_error: 0.6816, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.7973, scimark_benchmark: 1356.3402, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.851, kappa: 0.681, kb_relative_information_score: 210.3979, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8569, predictive_accuracy: 0.8544, prior_entropy: 0.9312, recall: 0.8544, relative_absolute_error: 0.3596, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.7006, scimark_benchmark: 1334.3805, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1345.1228, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 242.9107, mean_absolute_error: 0.1493, 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: 0.3216, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3922, scimark_benchmark: 1356.2994, usercpu_time_millis: 1920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1910,
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: 1321.8733, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
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: 918.6005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8813, kappa: 0.7454, kb_relative_information_score: 165.349, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9013, predictive_accuracy: 0.8861, prior_entropy: 0.9312, recall: 0.8861, relative_absolute_error: 0.5532, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3075, root_relative_squared_error: 0.6308, scimark_benchmark: 1345.0332, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8817, kappa: 0.7462, kb_relative_information_score: 166.2217, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.899, predictive_accuracy: 0.8861, prior_entropy: 0.9312, recall: 0.8861, relative_absolute_error: 0.5464, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6346, scimark_benchmark: 1313.9606, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, 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: 1332.4146, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.8054, kappa: 0.5857, kb_relative_information_score: 186.8496, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8052, predictive_accuracy: 0.807, prior_entropy: 0.9312, recall: 0.807, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9014, scimark_benchmark: 906.4475, usercpu_time_millis: 170, usercpu_time_millis_testing: 170,

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