OpenML
Supervised Classification on vote

Supervised Classification on vote

Task 285 Supervised Classification vote 380 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, build_cpu_time: 0.005, build_memory: 50366040, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 131.8173, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.094, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2424, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, build_memory: 195901120, f_measure: 0.9513, kappa: 0.8976, kb_relative_information_score: 123.7897, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9524, predictive_accuracy: 0.951, prior_entropy: 0.9627, recall: 0.951, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4563, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, build_cpu_time: 0.034, build_memory: 301140096, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 132.0085, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3843, scimark_benchmark: 941.9254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_cpu_time: 0.012, build_memory: 793301576, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, build_cpu_time: 0.031, build_memory: 134985712, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 140.6347, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.1719, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.008, build_memory: 961769944, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 131.3099, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0906, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.2441, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_memory: 155476488, f_measure: 0.9376, kappa: 0.8701, kb_relative_information_score: 123.08, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9428, predictive_accuracy: 0.9371, prior_entropy: 0.9627, recall: 0.9371, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4888, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_memory: 331213832, f_measure: 0.9376, kappa: 0.8701, kb_relative_information_score: 123.08, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9428, predictive_accuracy: 0.9371, prior_entropy: 0.9627, recall: 0.9371, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4888, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.017, build_memory: 546267720, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.015, build_memory: 679068984, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 934.4754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, build_cpu_time: 0.01, build_memory: 1474684784, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.2742, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1138, root_relative_squared_error: 0.2339, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.005, build_memory: 26662216, f_measure: 0.9722, kappa: 0.9417, kb_relative_information_score: 131.7985, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9739, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.2891, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.007, build_memory: 95247720, f_measure: 0.9722, kappa: 0.9417, kb_relative_information_score: 131.7985, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9739, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.2891, scimark_benchmark: 933.0871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, build_cpu_time: 0.007, build_memory: 119379776, f_measure: 0.9722, kappa: 0.9417, kb_relative_information_score: 131.7985, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9739, predictive_accuracy: 0.972, prior_entropy: 0.9627, recall: 0.972, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.2891, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, build_memory: 1251654752, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 138.4782, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2431, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.002, build_memory: 275080728, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.8907, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2436, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 305467592, f_measure: 0.4689, kb_relative_information_score: -0.1312, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.3787, predictive_accuracy: 0.6154, prior_entropy: 0.9627, recall: 0.6154, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.4865, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_memory: 765672880, f_measure: 0.4689, kb_relative_information_score: -0.1312, mean_absolute_error: 0.4741, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.3787, predictive_accuracy: 0.6154, prior_entropy: 0.9627, recall: 0.6154, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.4865, root_relative_squared_error: 1, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, build_cpu_time: 0.001, build_memory: 457553112, f_measure: 0.9376, kappa: 0.8701, kb_relative_information_score: 123.08, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9428, predictive_accuracy: 0.9371, prior_entropy: 0.9627, recall: 0.9371, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.4888, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, build_cpu_time: 0.226, build_memory: 569461848, f_measure: 0.9791, kappa: 0.9558, kb_relative_information_score: 131.3449, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9792, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0871, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1232, root_relative_squared_error: 0.2532, scimark_benchmark: 926.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.109, build_memory: 454534160, f_measure: 0.9791, kappa: 0.9561, kb_relative_information_score: 135.9447, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9801, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2351, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 0.138, build_memory: 1621232176, f_measure: 0.9791, kappa: 0.9561, kb_relative_information_score: 135.9447, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9801, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2351, scimark_benchmark: 938.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, build_cpu_time: 0.194, build_memory: 847358400, f_measure: 0.9791, kappa: 0.9561, kb_relative_information_score: 135.8735, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9801, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.0509, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.2128, scimark_benchmark: 937.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 0.432, build_memory: 943377352, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 135.428, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2084, scimark_benchmark: 935.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, build_cpu_time: 0.58, build_memory: 68053568, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 135.428, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2084, scimark_benchmark: 926.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.035, build_memory: 2372721496, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 136.067, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.0971, root_relative_squared_error: 0.1997, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, build_cpu_time: 1.994, build_memory: 215439336, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 136.2627, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.2005, scimark_benchmark: 946.5993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.11, build_memory: 866738560, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 128.4975, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2429, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.059, build_memory: 1401630432, f_measure: 0.9861, kappa: 0.9707, kb_relative_information_score: 129.0293, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9865, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2365, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, build_cpu_time: 0.045, build_memory: 595281512, f_measure: 0.993, kappa: 0.9853, kb_relative_information_score: 129.9444, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9931, predictive_accuracy: 0.993, prior_entropy: 0.9627, recall: 0.993, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2253, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.095, build_memory: 77918384, f_measure: 0.979, kappa: 0.9555, kb_relative_information_score: 125.8712, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3068, scimark_benchmark: 941.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, build_cpu_time: 0.103, build_memory: 1425060920, f_measure: 0.979, kappa: 0.9555, kb_relative_information_score: 125.8712, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.1336, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.3068, scimark_benchmark: 929.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.258, build_memory: 121370904, f_measure: 0.979, kappa: 0.9555, kb_relative_information_score: 125.9113, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2994, scimark_benchmark: 917.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 0.216, build_memory: 351294864, f_measure: 0.979, kappa: 0.9555, kb_relative_information_score: 125.9113, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.979, predictive_accuracy: 0.979, prior_entropy: 0.9627, recall: 0.979, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.2994, scimark_benchmark: 945.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 7.752, build_memory: 1536096248, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 125.9328, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2948, scimark_benchmark: 929.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 4.677, build_memory: 112297176, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 125.6455, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.2982, scimark_benchmark: 932.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, build_cpu_time: 5.027, build_memory: 112644136, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 125.6455, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.2982, scimark_benchmark: 926.5836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, build_cpu_time: 2.329, build_memory: 1207614640, f_measure: 0.986, kappa: 0.9705, kb_relative_information_score: 126.0479, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.986, predictive_accuracy: 0.986, prior_entropy: 0.9627, recall: 0.986, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.2925, scimark_benchmark: 871.6268,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9439, kappa: 0.881, kb_relative_information_score: 126.5154, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.944, predictive_accuracy: 0.9441, prior_entropy: 0.9627, recall: 0.9441, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.4048, scimark_benchmark: 937.6084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9653, kappa: 0.9274, kb_relative_information_score: 132.0085, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4739, number_of_instances: 143, precision: 0.9679, predictive_accuracy: 0.965, prior_entropy: 0.9627, recall: 0.965, relative_absolute_error: 0.0738, root_mean_prior_squared_error: 0.4865, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3843, scimark_benchmark: 928.8715,

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