Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.2063, build_memory: 84551824.8, f_measure: 0.9797, kappa: 0.9594, kb_relative_information_score: 15313.6549, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9986, recall: 0.9797, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2677, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 1.766, build_memory: 1125770644.8, f_measure: 0.9797, kappa: 0.9594, kb_relative_information_score: 15313.6549, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9986, recall: 0.9797, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.2677, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 2.9137, build_memory: 865506390.4, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 15567.5628, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9986, recall: 0.9874, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.211, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, build_cpu_time: 3.0154, build_memory: 732168982.4, f_measure: 0.9874, kappa: 0.9747, kb_relative_information_score: 15567.5628, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.9986, recall: 0.9874, relative_absolute_error: 0.026, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.211, scimark_benchmark: 944.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, build_cpu_time: 0.0888, build_memory: 1343521761.6, f_measure: 0.9433, kappa: 0.8864, kb_relative_information_score: 12200.024, mean_absolute_error: 0.1331, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9436, predictive_accuracy: 0.9434, prior_entropy: 0.9986, recall: 0.9434, relative_absolute_error: 0.2668, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.4416, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, build_cpu_time: 0.1032, build_memory: 1397143752.8, f_measure: 0.9467, kappa: 0.8932, kb_relative_information_score: 13155.999, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.947, predictive_accuracy: 0.9467, prior_entropy: 0.9986, recall: 0.9467, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.3999, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, build_cpu_time: 0.3284, build_memory: 100824721.6, f_measure: 0.9584, kappa: 0.9166, kb_relative_information_score: 14007.7434, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9584, predictive_accuracy: 0.9584, prior_entropy: 0.9986, recall: 0.9584, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1773, root_relative_squared_error: 0.355, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4442, build_memory: 659022327.2, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 13967.4936, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2665, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.3019, build_memory: 332505759.2, f_measure: 0.9499, kappa: 0.8995, kb_relative_information_score: 14096.7974, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.9986, recall: 0.9499, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.3877, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, build_cpu_time: 0.0242, build_memory: 307972069.6, f_measure: 0.925, kappa: 0.8497, kb_relative_information_score: 10680.7542, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9251, predictive_accuracy: 0.925, prior_entropy: 0.9986, recall: 0.925, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5243, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, build_cpu_time: 0.2836, build_memory: 629689911.2, f_measure: 0.9502, kappa: 0.9001, kb_relative_information_score: 14102.2922, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.9986, recall: 0.9502, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.3874, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 0.2512, build_memory: 640381316.8, f_measure: 0.9486, kappa: 0.8969, kb_relative_information_score: 14045.5049, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9486, predictive_accuracy: 0.9486, prior_entropy: 0.9986, recall: 0.9486, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.3916, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, build_cpu_time: 0.1191, build_memory: 517970536, f_measure: 0.9392, kappa: 0.878, kb_relative_information_score: 13392.8365, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9392, predictive_accuracy: 0.9392, prior_entropy: 0.9986, recall: 0.9392, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4368, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, build_cpu_time: 0.2177, build_memory: 233507282.4, f_measure: 0.9538, kappa: 0.9074, kb_relative_information_score: 13737.2925, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.9986, recall: 0.9538, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.3694, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4138, build_memory: 609688601.6, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 13967.4936, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2665, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, build_cpu_time: 18.4397, build_memory: 213647837.6, f_measure: 0.9744, kappa: 0.9487, kb_relative_information_score: 15031.2354, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.9986, recall: 0.9744, relative_absolute_error: 0.0613, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.2819, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.4201, build_memory: 434302810.4, f_measure: 0.9637, kappa: 0.9272, kb_relative_information_score: 14894.1321, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9986, recall: 0.9636, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3367, scimark_benchmark: 945.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.6717, build_memory: 1055991278.4, f_measure: 0.9637, kappa: 0.9272, kb_relative_information_score: 14894.1321, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9986, recall: 0.9636, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3367, scimark_benchmark: 944.2618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, build_cpu_time: 0.6027, build_memory: 1317650013.6, f_measure: 0.9637, kappa: 0.9272, kb_relative_information_score: 14894.1321, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9638, predictive_accuracy: 0.9636, prior_entropy: 0.9986, recall: 0.9636, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3367, scimark_benchmark: 909.9339,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, build_cpu_time: 3.7808, build_memory: 1172283804.8, f_measure: 0.9916, kappa: 0.9831, kb_relative_information_score: 15711.0132, mean_absolute_error: 0.0084, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 0.9986, recall: 0.9916, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0882, root_relative_squared_error: 0.1767, scimark_benchmark: 944.5683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 7.9998, build_memory: 874956805.6, f_measure: 0.9939, kappa: 0.9878, kb_relative_information_score: 15782.7787, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.9986, recall: 0.9939, relative_absolute_error: 0.0123, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0768, root_relative_squared_error: 0.1538, scimark_benchmark: 931.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, build_cpu_time: 338.8969, build_memory: 65837936.8, f_measure: 0.9929, kappa: 0.9858, kb_relative_information_score: 15583.5, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.993, predictive_accuracy: 0.9929, prior_entropy: 0.9986, recall: 0.9929, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.1595, scimark_benchmark: 942.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, build_cpu_time: 0.2276, build_memory: 2057823550.4, f_measure: 0.9901, kappa: 0.9801, kb_relative_information_score: 15450.3467, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 0.9986, recall: 0.9901, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.1799, scimark_benchmark: 940.5901,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, build_cpu_time: 0.0345, build_memory: 33843716.8, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 944.601,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0121, build_memory: 1944261885.6, f_measure: 0.9522, kappa: 0.9043, kb_relative_information_score: 14450.0363, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4371, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, build_cpu_time: 2.9309, build_memory: 67485409.6, f_measure: 0.9938, kappa: 0.9876, kb_relative_information_score: 15779.4466, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9938, predictive_accuracy: 0.9938, prior_entropy: 0.9986, recall: 0.9938, relative_absolute_error: 0.0126, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.1548, scimark_benchmark: 940.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.6935, build_memory: 1095591816, f_measure: 0.9936, kappa: 0.9871, kb_relative_information_score: 15772.0985, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.9986, recall: 0.9936, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.1554, scimark_benchmark: 947.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.4881, build_memory: 1801266570.4, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 13967.4936, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.986, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1331, root_relative_squared_error: 0.2665, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, build_cpu_time: 0.0069, build_memory: 119399935.2, f_measure: 0.9522, kappa: 0.9043, kb_relative_information_score: 14450.0363, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9523, predictive_accuracy: 0.9523, prior_entropy: 0.9986, recall: 0.9523, relative_absolute_error: 0.0957, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2183, root_relative_squared_error: 0.4371, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.3629, build_memory: 551877580.8, f_measure: 0.9929, kappa: 0.9858, kb_relative_information_score: 15751.8626, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 0.9986, recall: 0.9929, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.1598, scimark_benchmark: 938.8409,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, build_cpu_time: 2.8919, build_memory: 996642368, f_measure: 0.9659, kappa: 0.9317, kb_relative_information_score: 14761.6419, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9659, predictive_accuracy: 0.9659, prior_entropy: 0.9986, recall: 0.9659, relative_absolute_error: 0.0782, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3241, scimark_benchmark: 941.7913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, build_cpu_time: 0.447, build_memory: 2492727826.4, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13954.5295, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1334, root_relative_squared_error: 0.267, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.2133, build_memory: 1188227388.8, f_measure: 0.9848, kappa: 0.9695, kb_relative_information_score: 13931.6227, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9986, recall: 0.9848, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2721, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, build_cpu_time: 0.2925, build_memory: 1023748310.4, f_measure: 0.9848, kappa: 0.9695, kb_relative_information_score: 13931.6227, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9986, recall: 0.9848, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1359, root_relative_squared_error: 0.2721, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.2726, build_memory: 1496200492.8, f_measure: 0.9859, kappa: 0.9718, kb_relative_information_score: 15135.7133, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9859, predictive_accuracy: 0.9859, prior_entropy: 0.9986, recall: 0.9859, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1075, root_relative_squared_error: 0.2152, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, build_cpu_time: 0.0467, build_memory: 947003168.8, f_measure: 0.9778, kappa: 0.9554, kb_relative_information_score: 13877.6277, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9779, predictive_accuracy: 0.9778, prior_entropy: 0.9986, recall: 0.9778, relative_absolute_error: 0.1527, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3069, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.4972, build_memory: 922097051.2, f_measure: 0.9864, kappa: 0.9728, kb_relative_information_score: 15139.8462, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9864, predictive_accuracy: 0.9864, prior_entropy: 0.9986, recall: 0.9864, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2139, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, build_cpu_time: 7.8311, build_memory: 944046258.4, f_measure: 0.9538, kappa: 0.9074, kb_relative_information_score: 14515.561, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.9986, recall: 0.9538, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3832, scimark_benchmark: 919.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 926.6704, usercpu_time_millis: 740, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9925, kappa: 0.9849, kb_relative_information_score: 15713.4355, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 0.9986, recall: 0.9925, relative_absolute_error: 0.0172, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1635, scimark_benchmark: 1086.8793, usercpu_time_millis: 9080, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9070,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9892, kappa: 0.9784, kb_relative_information_score: 15525.1566, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.9986, recall: 0.9892, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2038, scimark_benchmark: 892.0148, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 1320.9026, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 1326.8946, usercpu_time_millis: 750, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9786, kappa: 0.9571, kb_relative_information_score: 15177.1705, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.9986, recall: 0.9786, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2792, scimark_benchmark: 1346.9602, usercpu_time_millis: 11820, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 11750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.9407, kappa: 0.8811, kb_relative_information_score: 12951.1091, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9421, predictive_accuracy: 0.9408, prior_entropy: 0.9986, recall: 0.9408, relative_absolute_error: 0.2114, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2301, root_relative_squared_error: 0.4607, scimark_benchmark: 869.6028, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 1028.5889, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9416, kappa: 0.8829, kb_relative_information_score: 12967.1986, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9425, predictive_accuracy: 0.9417, prior_entropy: 0.9986, recall: 0.9417, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.41, scimark_benchmark: 1304.9611, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9498, kappa: 0.8994, kb_relative_information_score: 13491.6038, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 0.9986, recall: 0.9499, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.192, root_relative_squared_error: 0.3844, scimark_benchmark: 932.0242, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9531, kappa: 0.906, kb_relative_information_score: 13895.3406, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9533, predictive_accuracy: 0.9531, prior_entropy: 0.9986, recall: 0.9531, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.3619, scimark_benchmark: 918.6005, usercpu_time_millis: 800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9807, kappa: 0.9612, kb_relative_information_score: 15137.0698, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9807, predictive_accuracy: 0.9807, prior_entropy: 0.9986, recall: 0.9807, relative_absolute_error: 0.0569, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.256, scimark_benchmark: 1319.6463, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5762, f_measure: 0.5542, kappa: 0.1558, kb_relative_information_score: 2782.4609, mean_absolute_error: 0.4118, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.6074, predictive_accuracy: 0.5882, prior_entropy: 0.9986, recall: 0.5882, relative_absolute_error: 0.8252, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6417, root_relative_squared_error: 1.2846, scimark_benchmark: 1384.4418, usercpu_time_millis: 460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9702, kappa: 0.9402, kb_relative_information_score: 15025.258, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9716, predictive_accuracy: 0.9702, prior_entropy: 0.9986, recall: 0.9702, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.3455, scimark_benchmark: 1465.2979, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9887, kappa: 0.9774, kb_relative_information_score: 15547.423, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9887, predictive_accuracy: 0.9887, prior_entropy: 0.9986, recall: 0.9887, relative_absolute_error: 0.0286, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.2051, scimark_benchmark: 1384.4418, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9635, kappa: 0.9268, kb_relative_information_score: 14808.6423, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.9986, recall: 0.9635, relative_absolute_error: 0.0732, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.3827, scimark_benchmark: 1315.395, usercpu_time_millis: 910, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9877, kappa: 0.9753, kb_relative_information_score: 15442.8205, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 0.9986, recall: 0.9877, relative_absolute_error: 0.0368, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2138, scimark_benchmark: 1321.6263, usercpu_time_millis: 1260, usercpu_time_millis_training: 1260,

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