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: 0.9774, build_cpu_time: 0.07, build_memory: 121102632, f_measure: 0.9462, kappa: 0.8863, kb_relative_information_score: 246.7325, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9463, predictive_accuracy: 0.9462, prior_entropy: 0.9312, recall: 0.9462, relative_absolute_error: 0.2755, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4657, scimark_benchmark: 913.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, build_cpu_time: 0.002, build_memory: 1576731088, 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: 940.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, build_cpu_time: 0.006, build_memory: 1609287512, 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: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, build_cpu_time: 0.083, build_memory: 636994968, 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: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, build_cpu_time: 0.047, build_memory: 625346760, f_measure: 0.9842, kappa: 0.9665, kb_relative_information_score: 310.9202, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9842, predictive_accuracy: 0.9842, prior_entropy: 0.9312, recall: 0.9842, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2569, scimark_benchmark: 945.4085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, build_memory: 179238424, 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: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.282, build_memory: 115258312, 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: 937.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 0.086, build_memory: 715552464, 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: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 0.059, build_memory: 170682544, 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: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 0.027, build_memory: 785818320, 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: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, build_cpu_time: 0.001, build_memory: 35593296, 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: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, build_cpu_time: 0.023, build_memory: 660155744, 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: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 0.01, build_memory: 97215848, f_measure: 0.698, kappa: 0.3527, kb_relative_information_score: 94.0438, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7126, predictive_accuracy: 0.7152, prior_entropy: 0.9312, recall: 0.7152, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8324, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 0.01, build_memory: 97371064, f_measure: 0.698, kappa: 0.3527, kb_relative_information_score: 94.0438, mean_absolute_error: 0.3377, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7126, predictive_accuracy: 0.7152, prior_entropy: 0.9312, recall: 0.7152, relative_absolute_error: 0.7276, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8324, scimark_benchmark: 945.1122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, build_memory: 533701296, f_measure: 0.7213, kappa: 0.4053, kb_relative_information_score: 127.0436, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7205, predictive_accuracy: 0.7247, prior_entropy: 0.9312, recall: 0.7247, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.5247, root_relative_squared_error: 1.0765, scimark_benchmark: 929.8725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, build_cpu_time: 0.003, build_memory: 460891336, 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: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, build_cpu_time: 0.003, build_memory: 716036552, 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: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 993246784, f_measure: 0.471, kb_relative_information_score: 3.0624, mean_absolute_error: 0.46, 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: 0.9911, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0033, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 836496496, f_measure: 0.471, kb_relative_information_score: 3.0624, mean_absolute_error: 0.46, 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: 0.9911, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0033, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.001, build_memory: 110284600, f_measure: 0.471, kb_relative_information_score: 3.0624, mean_absolute_error: 0.46, 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: 0.9911, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.4891, root_relative_squared_error: 1.0033, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, build_cpu_time: 21970.741, build_memory: 418837424, f_measure: 0.7688, kappa: 0.5104, kb_relative_information_score: 139.5872, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.7686, predictive_accuracy: 0.769, prior_entropy: 0.9312, recall: 0.769, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7703, scimark_benchmark: 939.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, build_cpu_time: 0.813, build_memory: 1642581824, 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: 941.7913,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, build_cpu_time: 0.377, build_memory: 386536896, 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: 941.3563,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, build_cpu_time: 0.01, build_memory: 526297680, f_measure: 0.8907, kappa: 0.7665, kb_relative_information_score: 171.733, mean_absolute_error: 0.243, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.8941, predictive_accuracy: 0.8924, prior_entropy: 0.9312, recall: 0.8924, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6345, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, build_cpu_time: 0.044, build_memory: 442490864, f_measure: 0.9288, kappa: 0.8474, kb_relative_information_score: 178.1982, mean_absolute_error: 0.2423, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9374, predictive_accuracy: 0.9304, prior_entropy: 0.9312, recall: 0.9304, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.5932, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, build_cpu_time: 0.074, build_memory: 2973669288, f_measure: 0.9221, kappa: 0.833, kb_relative_information_score: 179.5262, mean_absolute_error: 0.2409, 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: 0.5191, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.286, root_relative_squared_error: 0.5868, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, build_cpu_time: 0.162, build_memory: 909855928, f_measure: 0.9223, kappa: 0.8335, kb_relative_information_score: 180.5693, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9307, predictive_accuracy: 0.9241, prior_entropy: 0.9312, recall: 0.9241, relative_absolute_error: 0.5176, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.5824, scimark_benchmark: 874.7213,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 2.317, build_memory: 1983916232, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 310.443, mean_absolute_error: 0.027, 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: 0.0582, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.213, scimark_benchmark: 944.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, build_cpu_time: 4.872, build_memory: 569414768, f_measure: 0.9873, kappa: 0.973, kb_relative_information_score: 310.9085, mean_absolute_error: 0.026, 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: 0.0561, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.1064, root_relative_squared_error: 0.2183, scimark_benchmark: 948.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, build_cpu_time: 0.353, build_memory: 685470192, f_measure: 0.9057, kappa: 0.7979, kb_relative_information_score: 194.012, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9163, predictive_accuracy: 0.9082, prior_entropy: 0.9312, recall: 0.9082, relative_absolute_error: 0.4601, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2745, root_relative_squared_error: 0.5631, scimark_benchmark: 944.3722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.186, build_memory: 38923096, f_measure: 0.9189, kappa: 0.8263, kb_relative_information_score: 194.5779, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9282, predictive_accuracy: 0.9209, prior_entropy: 0.9312, recall: 0.9209, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5625, scimark_benchmark: 941.6302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.192, build_memory: 95621248, f_measure: 0.9189, kappa: 0.8263, kb_relative_information_score: 194.5779, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9282, predictive_accuracy: 0.9209, prior_entropy: 0.9312, recall: 0.9209, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5625, scimark_benchmark: 946.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.205, build_memory: 145807256, f_measure: 0.9189, kappa: 0.8263, kb_relative_information_score: 194.5779, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9282, predictive_accuracy: 0.9209, prior_entropy: 0.9312, recall: 0.9209, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5625, scimark_benchmark: 934.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, build_cpu_time: 0.205, build_memory: 913169632, f_measure: 0.9189, kappa: 0.8263, kb_relative_information_score: 194.5779, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9282, predictive_accuracy: 0.9209, prior_entropy: 0.9312, recall: 0.9209, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.5625, scimark_benchmark: 943.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, build_cpu_time: 0.078, build_memory: 2535135184, f_measure: 0.9124, kappa: 0.8124, kb_relative_information_score: 193.908, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9214, predictive_accuracy: 0.9146, prior_entropy: 0.9312, recall: 0.9146, relative_absolute_error: 0.4556, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.5717, scimark_benchmark: 944.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.049, build_memory: 67990848, f_measure: 0.8955, kappa: 0.7759, kb_relative_information_score: 196.3946, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9087, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5732, scimark_benchmark: 943.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.051, build_memory: 336581680, f_measure: 0.8955, kappa: 0.7759, kb_relative_information_score: 196.3946, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9087, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5732, scimark_benchmark: 944.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, build_cpu_time: 0.048, build_memory: 203007848, f_measure: 0.8955, kappa: 0.7759, kb_relative_information_score: 196.3946, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4641, number_of_instances: 316, precision: 0.9087, predictive_accuracy: 0.8987, prior_entropy: 0.9312, recall: 0.8987, relative_absolute_error: 0.4458, root_mean_prior_squared_error: 0.4874, root_mean_squared_error: 0.2794, root_relative_squared_error: 0.5732, scimark_benchmark: 941.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, build_cpu_time: 0.003, build_memory: 1480896472, 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: 939.4614,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs