OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131688 runs submitted
0 likes downloaded by 8 people , 10 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

131688 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, build_cpu_time: 0.9481, build_memory: 375433246.7813, f_measure: 0.7656, kappa: 0.4741, kb_relative_information_score: 226.2597, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7684, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8302, scimark_benchmark: 939.4327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, build_cpu_time: 0.0106, build_memory: 940912847.6979, f_measure: 0.6963, kappa: 0.3158, kb_relative_information_score: 209.5081, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7113, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9718, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, build_cpu_time: 0.0102, build_memory: 1040280440.6771, f_measure: 0.6963, kappa: 0.3158, kb_relative_information_score: 209.5081, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7113, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9718, scimark_benchmark: 942.3187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, build_cpu_time: 2.0723, build_memory: 736224468.6979, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 258.0272, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8265, scimark_benchmark: 926.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, build_cpu_time: 2.1005, build_memory: 1655005770.2292, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 258.0272, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8265, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, build_cpu_time: 3.6929, build_memory: 714205997.4375, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.4199, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.393, root_relative_squared_error: 0.8245, scimark_benchmark: 920.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 7.4405, build_memory: 718850841.4063, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 254.4924, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8263, scimark_benchmark: 929.8269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 7.6946, build_memory: 1347111632.3542, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 254.4924, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8263, scimark_benchmark: 922.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, build_cpu_time: 8.1598, build_memory: 697280183.375, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 254.4924, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6805, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.8263, scimark_benchmark: 940.5606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 16.4498, build_memory: 768868287.8125, f_measure: 0.7621, kappa: 0.4704, kb_relative_information_score: 252.7809, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7611, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6821, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 941.6047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, build_cpu_time: 30.0292, build_memory: 1377864414.6354, f_measure: 0.7664, kappa: 0.4806, kb_relative_information_score: 252.9864, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7654, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6819, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.8279, scimark_benchmark: 933.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, build_cpu_time: 0.5214, build_memory: 1095751635.25, f_measure: 0.7751, kappa: 0.5009, kb_relative_information_score: 259.6606, mean_absolute_error: 0.3047, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7741, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.8337, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, build_cpu_time: 0.288, build_memory: 2736561242.0833, f_measure: 0.7641, kappa: 0.4757, kb_relative_information_score: 259.6604, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7629, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.8361, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, build_cpu_time: 0.083, build_memory: 1981163066.1667, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 255.6415, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, build_cpu_time: 0.0942, build_memory: 2394322458.5729, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 255.6415, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 949.2096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, build_cpu_time: 0.0993, build_memory: 343497656.1042, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 255.6415, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 943.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8345, build_cpu_time: 0.0951, build_memory: 821781036.1771, f_measure: 0.7577, kappa: 0.4588, kb_relative_information_score: 255.6415, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7574, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8293, scimark_benchmark: 941.5201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, build_cpu_time: 0.154, build_memory: 1725807551.5625, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 254.5093, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.83, scimark_benchmark: 919.2952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 0.2736, build_memory: 1807897020.0938, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 251.2709, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, build_cpu_time: 0.2543, build_memory: 927817703.8229, f_measure: 0.7574, kappa: 0.4578, kb_relative_information_score: 251.2709, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7573, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8309, scimark_benchmark: 902.5808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.4717, build_memory: 842825746.1042, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 253.4157, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8269, scimark_benchmark: 944.9156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 0.5401, build_memory: 1866310213.2917, f_measure: 0.7654, kappa: 0.4769, kb_relative_information_score: 253.4157, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7647, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8269, scimark_benchmark: 938.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, build_cpu_time: 0.437, build_memory: 611724956.0833, f_measure: 0.758, kappa: 0.456, kb_relative_information_score: 358.4374, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9539, scimark_benchmark: 935.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, build_cpu_time: 0.2178, build_memory: 992036132.6042, f_measure: 0.7619, kappa: 0.4647, kb_relative_information_score: 356.7322, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9538, scimark_benchmark: 927.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, build_cpu_time: 0.255, build_memory: 699542426.2917, f_measure: 0.7619, kappa: 0.4647, kb_relative_information_score: 356.7322, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7678, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9538, scimark_benchmark: 929.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.1336, build_memory: 1248303042.0625, f_measure: 0.7677, kappa: 0.4779, kb_relative_information_score: 357.7208, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7735, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9543, scimark_benchmark: 936.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, build_cpu_time: 0.1279, build_memory: 165647680.4479, f_measure: 0.7677, kappa: 0.4779, kb_relative_information_score: 357.7208, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7735, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9543, scimark_benchmark: 928.8874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, build_cpu_time: 0.3881, build_memory: 465745125.0208, f_measure: 0.7704, kappa: 0.484, kb_relative_information_score: 359.3672, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7764, predictive_accuracy: 0.7799, prior_entropy: 0.9335, recall: 0.7799, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9433, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, build_cpu_time: 0.3962, build_memory: 194308044.0208, f_measure: 0.7704, kappa: 0.484, kb_relative_information_score: 359.3672, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7764, predictive_accuracy: 0.7799, prior_entropy: 0.9335, recall: 0.7799, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9433, scimark_benchmark: 935.5532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, build_cpu_time: 0.0002, build_memory: 98710652.5729, f_measure: 0.5951, kappa: 0.12, kb_relative_information_score: 48.7798, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6004, predictive_accuracy: 0.5911, prior_entropy: 0.9335, recall: 0.5911, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6394, root_relative_squared_error: 1.3415, scimark_benchmark: 941.5087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, build_cpu_time: 0.0018, build_memory: 153285738.5521, f_measure: 0.5951, kappa: 0.12, kb_relative_information_score: 48.7798, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6004, predictive_accuracy: 0.5911, prior_entropy: 0.9335, recall: 0.5911, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.6394, root_relative_squared_error: 1.3415, scimark_benchmark: 947.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.0018, build_memory: 252804061.8021, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 940.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.0018, build_memory: 165726795.0833, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, build_cpu_time: 0.0001, build_memory: 164127016, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, build_cpu_time: 0.0004, build_memory: 358496576.4583, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.0102, build_memory: 626524933.1667, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.01, build_memory: 206165041.6979, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 938.2445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, build_cpu_time: 0.0099, build_memory: 233129574.3958, f_measure: 0.7379, kappa: 0.4147, kb_relative_information_score: 241.2932, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7369, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9362, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, build_cpu_time: 0.0017, build_memory: 244055565.9375, f_measure: 0.6993, kappa: 0.324, kb_relative_information_score: 261.7115, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7006, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1254, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, build_cpu_time: 0.024, build_memory: 232915420.875, f_measure: 0.7399, kappa: 0.4185, kb_relative_information_score: 240.4753, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7393, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8702, scimark_benchmark: 945.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, build_cpu_time: 0.0234, build_memory: 207496200.6354, f_measure: 0.7399, kappa: 0.4185, kb_relative_information_score: 240.4753, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7393, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8702, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, build_cpu_time: 0.0471, build_memory: 589441972.2813, f_measure: 0.7648, kappa: 0.4751, kb_relative_information_score: 257.9267, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6759, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8354, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.002, build_memory: 144381095.1042, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 946.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.002, build_memory: 178230641.3646, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.0018, build_memory: 369105380.1771, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 942.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, build_cpu_time: 0.0093, build_memory: 654836833.3021, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.151, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6823, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, build_cpu_time: 0.0682, build_memory: 21848207.6458, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 926.8365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, build_cpu_time: 0.0139, build_memory: 734626336.2604, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, build_cpu_time: 0.3374, build_memory: 178801037.0104, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, build_cpu_time: 0.0003, build_memory: 558516407.8125, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 844.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, build_cpu_time: 0.0326, build_memory: 814412582.5, f_measure: 0.7465, kappa: 0.4345, kb_relative_information_score: 201.2167, mean_absolute_error: 0.3459, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7455, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7612, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9022, scimark_benchmark: 931.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, build_cpu_time: 0.2168, build_memory: 526709167.8021, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 257.3874, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343, scimark_benchmark: 936.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, build_cpu_time: 0.004, build_memory: 478727384, f_measure: 0.7614, kappa: 0.4698, kb_relative_information_score: 264.6413, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7603, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.41, root_relative_squared_error: 0.8602, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, build_cpu_time: 0.3022, build_memory: 509761821.1146, f_measure: 0.7442, kappa: 0.4313, kb_relative_information_score: 281.2266, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7427, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9008, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4764, build_cpu_time: 0.0461, build_memory: 397940946.9063, f_measure: 0.2263, kappa: -0.034, kb_relative_information_score: -381.6627, mean_absolute_error: 0.6536, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4297, predictive_accuracy: 0.3464, prior_entropy: 0.9335, recall: 0.3464, relative_absolute_error: 1.4382, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.8085, root_relative_squared_error: 1.6962, scimark_benchmark: 945.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, build_cpu_time: 0.6062, build_memory: 222703515.9271, f_measure: 0.7087, kappa: 0.3571, kb_relative_information_score: 264.1062, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7079, predictive_accuracy: 0.7096, prior_entropy: 0.9335, recall: 0.7096, relative_absolute_error: 0.6292, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4925, root_relative_squared_error: 1.0332, scimark_benchmark: 937.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, build_cpu_time: 1.1811, build_memory: 1154207047.3333, f_measure: 0.7151, kappa: 0.3668, kb_relative_information_score: 284.5913, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7132, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0594, scimark_benchmark: 874.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, build_cpu_time: 2.2185, build_memory: 2996244116.8021, f_measure: 0.7266, kappa: 0.3915, kb_relative_information_score: 296.0914, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7248, predictive_accuracy: 0.7305, prior_entropy: 0.9335, recall: 0.7305, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.507, root_relative_squared_error: 1.0636, scimark_benchmark: 909.8271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, build_cpu_time: 0.2414, build_memory: 550081863.3021, f_measure: 0.7486, kappa: 0.4385, kb_relative_information_score: 277.0021, mean_absolute_error: 0.2907, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7479, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6395, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8535, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, build_cpu_time: 0.1178, build_memory: 370561853.7188, f_measure: 0.7479, kappa: 0.4364, kb_relative_information_score: 269.5882, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8543, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, build_cpu_time: 0.0638, build_memory: 144131009.2188, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 923.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, build_cpu_time: 0.0434, build_memory: 103219853.4583, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 943.4024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, build_cpu_time: 0.0693, build_memory: 397077949.1667, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 244.9883, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6545, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1415, scimark_benchmark: 937.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, build_cpu_time: 1.9146, build_memory: 370782532.8021, f_measure: 0.7427, kappa: 0.4278, kb_relative_information_score: 319.6347, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7412, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5015, root_relative_squared_error: 1.0522, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, build_cpu_time: 1.0354, build_memory: 100097770.625, f_measure: 0.7412, kappa: 0.426, kb_relative_information_score: 315.3666, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7398, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0574, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, build_cpu_time: 0.5951, build_memory: 777053022.6042, f_measure: 0.7418, kappa: 0.4264, kb_relative_information_score: 320.5221, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7403, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0442, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, build_cpu_time: 0.3482, build_memory: 151353100.5208, f_measure: 0.7433, kappa: 0.4298, kb_relative_information_score: 318.0505, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7418, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0352, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7857, build_cpu_time: 0.166, build_memory: 233950448.4375, f_measure: 0.7383, kappa: 0.4192, kb_relative_information_score: 308.7158, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0217, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, build_cpu_time: 0.2065, build_memory: 715146939.9896, f_measure: 0.7441, kappa: 0.428, kb_relative_information_score: 267.933, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7435, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9146, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, build_cpu_time: 0.2169, build_memory: 1220867331.5313, f_measure: 0.7424, kappa: 0.4252, kb_relative_information_score: 276.0025, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6327, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.9092, scimark_benchmark: 933.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, build_cpu_time: 0.344, build_memory: 1160790297.3542, f_measure: 0.7424, kappa: 0.4252, kb_relative_information_score: 278.703, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7413, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9073, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, build_cpu_time: 7.7391, build_memory: 378523793.2188, f_measure: 0.741, kappa: 0.4276, kb_relative_information_score: 307.6835, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7401, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4858, root_relative_squared_error: 1.0192, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, build_cpu_time: 3.9176, build_memory: 647475209.6563, f_measure: 0.7356, kappa: 0.4178, kb_relative_information_score: 301.1117, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7355, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9933, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, build_cpu_time: 2.0857, build_memory: 147118118.3646, f_measure: 0.7479, kappa: 0.4436, kb_relative_information_score: 301.5677, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7472, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9627, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8028, build_cpu_time: 1.0436, build_memory: 838343196.0208, f_measure: 0.7455, kappa: 0.4388, kb_relative_information_score: 292.4217, mean_absolute_error: 0.2742, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.745, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9345, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, build_cpu_time: 0.6777, build_memory: 245754999.2188, f_measure: 0.7529, kappa: 0.4518, kb_relative_information_score: 292.5271, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7516, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9115, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, build_cpu_time: 3.0511, build_memory: 398975008.5417, f_measure: 0.7239, kappa: 0.3876, kb_relative_information_score: 285.8052, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7223, predictive_accuracy: 0.7266, prior_entropy: 0.9335, recall: 0.7266, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0387, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, build_cpu_time: 6.875, build_memory: 899054570.3125, f_measure: 0.7394, kappa: 0.4216, kb_relative_information_score: 318.1926, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.738, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0319, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, build_cpu_time: 14.3112, build_memory: 127582452.2188, f_measure: 0.7467, kappa: 0.4412, kb_relative_information_score: 322.6993, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7461, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.5572, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4957, root_relative_squared_error: 1.0399, scimark_benchmark: 938.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, build_cpu_time: 55.8366, build_memory: 101243428.2813, f_measure: 0.7517, kappa: 0.4517, kb_relative_information_score: 332.8895, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.751, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4958, root_relative_squared_error: 1.0401, scimark_benchmark: 931.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, build_cpu_time: 299.6014, build_memory: 45495017.0104, f_measure: 0.7448, kappa: 0.4358, kb_relative_information_score: 315.4436, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7439, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.5684, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9756, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, build_cpu_time: 155.9664, build_memory: 26769276.0313, f_measure: 0.7593, kappa: 0.4659, kb_relative_information_score: 315.9691, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7581, predictive_accuracy: 0.7617, prior_entropy: 0.9335, recall: 0.7617, relative_absolute_error: 0.5732, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.925, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, build_cpu_time: 78.9084, build_memory: 822357330.8542, f_measure: 0.7368, kappa: 0.414, kb_relative_information_score: 293.703, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7353, predictive_accuracy: 0.7409, prior_entropy: 0.9335, recall: 0.7409, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.9044, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, build_cpu_time: 37.1578, build_memory: 746963288.6771, f_measure: 0.7459, kappa: 0.4357, kb_relative_information_score: 276.5949, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7445, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6355, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8915, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, build_cpu_time: 19.3926, build_memory: 262985274.5208, f_measure: 0.7514, kappa: 0.4484, kb_relative_information_score: 259.5484, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7501, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.6648, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8858, scimark_benchmark: 892.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, build_cpu_time: 0.0597, build_memory: 1304017885.5313, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 270.7828, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, build_cpu_time: 0.0945, build_memory: 369778086.0729, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 270.7828, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, build_cpu_time: 0.0595, build_memory: 903980091.7708, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 270.7828, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, build_cpu_time: 0.0541, build_memory: 875941257.8333, f_measure: 0.761, kappa: 0.4666, kb_relative_information_score: 270.7828, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7604, predictive_accuracy: 0.7656, prior_entropy: 0.9335, recall: 0.7656, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, build_cpu_time: 0.0487, build_memory: 1284523356.1146, f_measure: 0.7586, kappa: 0.4617, kb_relative_information_score: 270.2857, mean_absolute_error: 0.2971, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7578, predictive_accuracy: 0.763, prior_entropy: 0.9335, recall: 0.763, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8737, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, build_cpu_time: 0.0159, build_memory: 608816325.9792, f_measure: 0.6665, kappa: 0.2556, kb_relative_information_score: 155.391, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6633, predictive_accuracy: 0.6732, prior_entropy: 0.9335, recall: 0.6732, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0391, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, build_cpu_time: 0.0332, build_memory: 768952559.6042, f_measure: 0.6605, kappa: 0.2463, kb_relative_information_score: 170.6991, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.658, predictive_accuracy: 0.6641, prior_entropy: 0.9335, recall: 0.6641, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0645, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, build_cpu_time: 0.0694, build_memory: 1463453577.4271, f_measure: 0.6811, kappa: 0.2932, kb_relative_information_score: 208.3654, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6792, predictive_accuracy: 0.6836, prior_entropy: 0.9335, recall: 0.6836, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5131, root_relative_squared_error: 1.0766, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, build_cpu_time: 0.19, build_memory: 215704356.6667, f_measure: 0.6841, kappa: 0.3029, kb_relative_information_score: 215.5944, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6833, predictive_accuracy: 0.6849, prior_entropy: 0.9335, recall: 0.6849, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5275, root_relative_squared_error: 1.1067, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, build_cpu_time: 0.2917, build_memory: 967226336.3646, f_measure: 0.6988, kappa: 0.3363, kb_relative_information_score: 232.3889, mean_absolute_error: 0.3048, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6984, predictive_accuracy: 0.6992, prior_entropy: 0.9335, recall: 0.6992, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.1166, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.2841, build_memory: 1393185671.6563, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.6479, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.3067, build_memory: 2001673930.1563, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.6479, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.2945, build_memory: 1553184980.9375, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.6479, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 940.5537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.2576, build_memory: 1123045191.6771, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.6479, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, build_cpu_time: 0.2655, build_memory: 1740712892.9375, f_measure: 0.7647, kappa: 0.4763, kb_relative_information_score: 257.6479, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7637, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6726, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.837, scimark_benchmark: 943.8094,

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