Task
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 3054 Supervised Classification monks-problems-2 352 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6306, build_cpu_time: 0.021, build_memory: 2715160168, f_measure: 0.599, kappa: 0.1258, kb_relative_information_score: 12.3614, mean_absolute_error: 0.4247, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6039, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9255, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9941, scimark_benchmark: 942.8791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, build_cpu_time: 0.079, build_memory: 76794920, f_measure: 0.5737, kappa: 0.0721, kb_relative_information_score: 12.8399, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.5753, predictive_accuracy: 0.6111, prior_entropy: 0.9279, recall: 0.6111, relative_absolute_error: 0.9225, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9907, scimark_benchmark: 934.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6565, build_cpu_time: 0.127, build_memory: 338385840, f_measure: 0.5886, kappa: 0.1054, kb_relative_information_score: 14.8098, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.595, predictive_accuracy: 0.6263, prior_entropy: 0.9279, recall: 0.6263, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9793, scimark_benchmark: 934.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, build_cpu_time: 0.276, build_memory: 271532568, f_measure: 0.589, kappa: 0.109, kb_relative_information_score: 15.5233, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6001, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9118, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9777, scimark_benchmark: 947.2993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, build_cpu_time: 2.151, build_memory: 568644424, f_measure: 0.5103, kappa: -0.0233, kb_relative_information_score: 1.1754, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.5107, predictive_accuracy: 0.601, prior_entropy: 0.9279, recall: 0.601, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0133, scimark_benchmark: 940.6835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, build_cpu_time: 0.152, build_memory: 1252237720, f_measure: 0.5287, kappa: 0.0094, kb_relative_information_score: -1.1658, mean_absolute_error: 0.455, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.5432, predictive_accuracy: 0.6111, prior_entropy: 0.9279, recall: 0.6111, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.03, scimark_benchmark: 942.6891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7922, build_cpu_time: 0.019, build_memory: 1451673664, f_measure: 0.6691, kappa: 0.2792, kb_relative_information_score: 60.3617, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6905, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4749, root_relative_squared_error: 0.9831, scimark_benchmark: 897.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 0.047, build_memory: 590365216, f_measure: 0.7497, kappa: 0.4576, kb_relative_information_score: 91.236, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7488, predictive_accuracy: 0.7525, prior_entropy: 0.9279, recall: 0.7525, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8777, scimark_benchmark: 945.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 0.059, build_memory: 33095344, f_measure: 0.7497, kappa: 0.4576, kb_relative_information_score: 91.236, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7488, predictive_accuracy: 0.7525, prior_entropy: 0.9279, recall: 0.7525, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8777, scimark_benchmark: 938.2803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 0.055, build_memory: 1477908608, f_measure: 0.7497, kappa: 0.4576, kb_relative_information_score: 91.236, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7488, predictive_accuracy: 0.7525, prior_entropy: 0.9279, recall: 0.7525, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8777, scimark_benchmark: 943.1654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, build_cpu_time: 0.078, build_memory: 290400384, f_measure: 0.8927, kappa: 0.7675, kb_relative_information_score: 150.5588, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.8939, predictive_accuracy: 0.8939, prior_entropy: 0.9279, recall: 0.8939, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.5626, scimark_benchmark: 945.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, build_cpu_time: 0.192, build_memory: 2041828680, f_measure: 0.9243, kappa: 0.8377, kb_relative_information_score: 168.0895, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.9245, predictive_accuracy: 0.9242, prior_entropy: 0.9279, recall: 0.9242, relative_absolute_error: 0.1682, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.4874, scimark_benchmark: 941.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, build_cpu_time: 0.374, build_memory: 1783808200, f_measure: 0.9647, kappa: 0.9243, kb_relative_information_score: 185.8413, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.9648, predictive_accuracy: 0.9646, prior_entropy: 0.9279, recall: 0.9646, relative_absolute_error: 0.0839, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.3783, scimark_benchmark: 845.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 219.706, build_memory: 102943200, f_measure: 0.7186, kappa: 0.3847, kb_relative_information_score: 39.2432, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7273, predictive_accuracy: 0.7323, prior_entropy: 0.9279, recall: 0.7323, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8859, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, build_cpu_time: 122.516, build_memory: 72753224, f_measure: 0.6991, kappa: 0.3422, kb_relative_information_score: 37.6742, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7037, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8849, scimark_benchmark: 941.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, build_cpu_time: 80.762, build_memory: 38589376, f_measure: 0.7008, kappa: 0.3462, kb_relative_information_score: 38.4217, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7037, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8779, scimark_benchmark: 987.7552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, build_cpu_time: 35.815, build_memory: 428413576, f_measure: 0.6544, kappa: 0.2452, kb_relative_information_score: 35.7474, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6537, predictive_accuracy: 0.6667, prior_entropy: 0.9279, recall: 0.6667, relative_absolute_error: 0.8276, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8958, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, build_cpu_time: 12.459, build_memory: 431790152, f_measure: 0.6761, kappa: 0.2918, kb_relative_information_score: 41.434, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6807, predictive_accuracy: 0.6919, prior_entropy: 0.9279, recall: 0.6919, relative_absolute_error: 0.8013, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8804, scimark_benchmark: 813.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.002, build_memory: 1784850064, f_measure: 0.4886, kb_relative_information_score: 4.5319, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9882, scimark_benchmark: 942.6348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6106, build_cpu_time: 0.003, build_memory: 1118893048, f_measure: 0.4886, kb_relative_information_score: 4.5319, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9734, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9882, scimark_benchmark: 944.9147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, build_cpu_time: 0.006, build_memory: 62285248, f_measure: 0.4886, kb_relative_information_score: 5.3715, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.971, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4751, root_relative_squared_error: 0.9834, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, build_cpu_time: 0.01, build_memory: 26734616, f_measure: 0.4886, kb_relative_information_score: 5.3258, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9831, scimark_benchmark: 943.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6413, build_cpu_time: 0.015, build_memory: 2920158880, f_measure: 0.4886, kb_relative_information_score: 5.4352, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4747, root_relative_squared_error: 0.9825, scimark_benchmark: 942.3742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6327, build_cpu_time: 0.038, build_memory: 1641473520, f_measure: 0.4886, kb_relative_information_score: 5.2048, mean_absolute_error: 0.446, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.972, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.475, root_relative_squared_error: 0.9831, scimark_benchmark: 940.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 158.852, build_memory: 2909073016, f_measure: 1, kappa: 1, kb_relative_information_score: 201.1356, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.0068, root_relative_squared_error: 0.014, scimark_benchmark: 941.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 72.797, build_memory: 231724616, f_measure: 1, kappa: 1, kb_relative_information_score: 201.073, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0141, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.0072, root_relative_squared_error: 0.015, scimark_benchmark: 944.6023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6235, build_cpu_time: 0.011, build_memory: 455920984, f_measure: 0.6284, kappa: 0.1912, kb_relative_information_score: 36.4985, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6251, predictive_accuracy: 0.6364, prior_entropy: 0.9279, recall: 0.6364, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.5975, root_relative_squared_error: 1.2368, scimark_benchmark: 905.0866,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.163, build_memory: 919449552, f_measure: 1, kappa: 1, kb_relative_information_score: 141.161, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4204, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.007, build_memory: 255707272, f_measure: 0.4886, kb_relative_information_score: 33.9964, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.3986, predictive_accuracy: 0.6313, prior_entropy: 0.9279, recall: 0.6313, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.6072, root_relative_squared_error: 1.2568, scimark_benchmark: 943.2191,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, build_cpu_time: 0.614, build_memory: 2455409280, f_measure: 0.6442, kappa: 0.2221, kb_relative_information_score: 28.5959, mean_absolute_error: 0.3855, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6458, predictive_accuracy: 0.6616, prior_entropy: 0.9279, recall: 0.6616, relative_absolute_error: 0.8402, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9441, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, build_cpu_time: 1.271, build_memory: 1171998280, f_measure: 0.6292, kappa: 0.1905, kb_relative_information_score: 27.1059, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6266, predictive_accuracy: 0.6414, prior_entropy: 0.9279, recall: 0.6414, relative_absolute_error: 0.8478, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9482, scimark_benchmark: 899.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, build_cpu_time: 1.67, build_memory: 1610740672, f_measure: 0.644, kappa: 0.2224, kb_relative_information_score: 26.9243, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.6426, predictive_accuracy: 0.6566, prior_entropy: 0.9279, recall: 0.6566, relative_absolute_error: 0.8479, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9436, scimark_benchmark: 939.4881,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8756, build_cpu_time: 0.141, build_memory: 655186440, f_measure: 0.7866, kappa: 0.5391, kb_relative_information_score: 87.2505, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7859, predictive_accuracy: 0.7879, prior_entropy: 0.9279, recall: 0.7879, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7741, scimark_benchmark: 930.5854,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7867, build_cpu_time: 5.245, build_memory: 449338384, f_measure: 0.759, kappa: 0.4767, kb_relative_information_score: 90.0766, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7586, predictive_accuracy: 0.7626, prior_entropy: 0.9279, recall: 0.7626, relative_absolute_error: 0.541, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9907, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, build_cpu_time: 8.873, build_memory: 241148344, f_measure: 0.7394, kappa: 0.4354, kb_relative_information_score: 82.1485, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7384, predictive_accuracy: 0.7424, prior_entropy: 0.9279, recall: 0.7424, relative_absolute_error: 0.5791, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0289, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, build_cpu_time: 13.259, build_memory: 1156003016, f_measure: 0.72, kappa: 0.3947, kb_relative_information_score: 74.2749, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7188, predictive_accuracy: 0.7222, prior_entropy: 0.9279, recall: 0.7222, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0758, scimark_benchmark: 931.6517,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, build_cpu_time: 9.137, build_memory: 38632832, f_measure: 0.7172, kappa: 0.3924, kb_relative_information_score: 51.0226, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7172, predictive_accuracy: 0.7172, prior_entropy: 0.9279, recall: 0.7172, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9734, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, build_cpu_time: 9.764, build_memory: 128501168, f_measure: 0.7172, kappa: 0.3924, kb_relative_information_score: 51.0226, mean_absolute_error: 0.3396, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.7172, predictive_accuracy: 0.7172, prior_entropy: 0.9279, recall: 0.7172, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9734, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, build_cpu_time: 7.215, build_memory: 37412920, f_measure: 0.6998, kappa: 0.3635, kb_relative_information_score: 49.6208, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4588, number_of_instances: 198, precision: 0.705, predictive_accuracy: 0.697, prior_entropy: 0.9279, recall: 0.697, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4831, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9769, scimark_benchmark: 943.0278,

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