10590866 32117 VAIBHAV JAISWAL 3954 Supervised Classification 19161 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neighbors._classification.KNeighborsClassifier)(1) 8304079 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 algorithm "auto" 19154 leaf_size 30 19154 metric "minkowski" 19154 metric_params null 19154 n_jobs null 19154 n_neighbors 5 19154 p 2 19154 weights "uniform" 19154 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19161 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19161 verbose false 19161 openml-python Sklearn_1.0.2. 1120 MagicTelescope https://www.openml.org/data/download/54003/MagicTelescope.arff -1 22109328 description https://api.openml.org/data/download/22109328/description.xml -1 22109329 predictions https://api.openml.org/data/download/22109329/predictions.arff area_under_roc_curve 0.8773715870485935 [0.877372,0.877372] average_cost 0 f_measure 0.8336694316952432 [0.883662,0.741487] kappa 0.6281094980598333 kb_relative_information_score 0.5567757013725039 mean_absolute_error 0.2027970557308043 mean_prior_absolute_error 0.45597723417494307 weighted_recall 0.8395373291272344 [0.939912,0.654456] number_of_instances 19020 [12332,6688] precision 0.8413080741548137 [0.833765,0.855217] predictive_accuracy 0.8395373291272346 prior_entropy 0.9355152453166837 relative_absolute_error 0.44475258967204917 root_mean_prior_squared_error 0.47747911240123586 root_mean_squared_error 0.34951069898734344 root_relative_squared_error 0.7319915990244243 total_cost 0 unweighted_recall 0.7971840822957195 [0.939912,0.654456] area_under_roc_curve 0.8692703733537788 [0.86927,0.86927] area_under_roc_curve 0.8896570715942507 [0.889657,0.889657] area_under_roc_curve 0.8719748520082388 [0.871975,0.871975] area_under_roc_curve 0.8869746641014358 [0.886975,0.886975] area_under_roc_curve 0.8795899267405929 [0.87959,0.87959] area_under_roc_curve 0.8773301958958729 [0.87733,0.87733] area_under_roc_curve 0.8695138790389356 [0.869514,0.869514] area_under_roc_curve 0.8706734458592009 [0.870673,0.870673] area_under_roc_curve 0.8935410976424364 [0.893541,0.893541] area_under_roc_curve 0.865373261710534 [0.865373,0.865373] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.8302686200827712 [0.879939,0.738513] f_measure 0.8481163071786639 [0.891715,0.767577] f_measure 0.8344980925930199 [0.888141,0.735632] f_measure 0.8341289668406288 [0.882488,0.745] f_measure 0.8377381428494259 [0.88626,0.748311] f_measure 0.8237993727854837 [0.878731,0.722558] f_measure 0.8234549078491835 [0.877326,0.724167] f_measure 0.8363648060172291 [0.885758,0.745331] f_measure 0.8405975400108373 [0.88804,0.753159] f_measure 0.8272411200620273 [0.878254,0.733221] kappa 0.6207993885155578 kappa 0.6610339548258372 kappa 0.6290308061416588 kappa 0.6297449873467004 kappa 0.6373429360073402 kappa 0.6055089263215028 kappa 0.60506593741442 kappa 0.6341167825360977 kappa 0.6438133952025769 kappa 0.6141175569889181 kb_relative_information_score 0.5493385581831678 kb_relative_information_score 0.5732846039878214 kb_relative_information_score 0.5615059776826751 kb_relative_information_score 0.5595035214105082 kb_relative_information_score 0.5654302089965143 kb_relative_information_score 0.5489615212899868 kb_relative_information_score 0.5363833144125318 kb_relative_information_score 0.5599376609482443 kb_relative_information_score 0.5720308049225787 kb_relative_information_score 0.5413853415656704 mean_absolute_error 0.20620399579390106 mean_absolute_error 0.19610935856992628 mean_absolute_error 0.20147213459516325 mean_absolute_error 0.2013669821240796 mean_absolute_error 0.19926393270241843 mean_absolute_error 0.20588853838065216 mean_absolute_error 0.2114616193480545 mean_absolute_error 0.20115667718191366 mean_absolute_error 0.1958990536277603 mean_absolute_error 0.20914826498422695 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.455852435405734 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 mean_prior_absolute_error 0.45600843386719786 number_of_instances 1902 [1234,668] number_of_instances 1902 [1234,668] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] number_of_instances 1902 [1233,669] precision 0.8354467464662152 [0.835397,0.835539] precision 0.852765624267487 [0.85011,0.857671] precision 0.8510822084067353 [0.824306,0.900433] precision 0.8393876049248156 [0.838074,0.841808] precision 0.8451960617252608 [0.837058,0.860194] precision 0.8344722951265864 [0.822489,0.856557] precision 0.8319015735166589 [0.825,0.844622] precision 0.8445919421814622 [0.834889,0.862475] precision 0.8478045147576155 [0.839595,0.862934] precision 0.8330994103206791 [0.831762,0.835564] predictive_accuracy 0.8354363827549948 predictive_accuracy 0.852260778128286 predictive_accuracy 0.8427970557308097 predictive_accuracy 0.8391167192429022 predictive_accuracy 0.843322818086225 predictive_accuracy 0.831230283911672 predictive_accuracy 0.8301787592008413 predictive_accuracy 0.8422712933753944 predictive_accuracy 0.8459516298633019 predictive_accuracy 0.8328075709779179 prior_entropy 0.9351439892378896 prior_entropy 0.9351439892378896 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 prior_entropy 0.9356080593363955 relative_absolute_error 0.45234812798656665 relative_absolute_error 0.4302035995384736 relative_absolute_error 0.4418166850261315 relative_absolute_error 0.44158609176672203 relative_absolute_error 0.4369742265785582 relative_absolute_error 0.45150160192127614 relative_absolute_error 0.4637230446699104 relative_absolute_error 0.44112490524790593 relative_absolute_error 0.42959524227749585 relative_absolute_error 0.45864999296292985 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4773484094561718 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_prior_squared_error 0.4775117825476151 root_mean_squared_error 0.35323352358909965 root_mean_squared_error 0.338767482117252 root_mean_squared_error 0.349131414340639 root_mean_squared_error 0.34424821700427133 root_mean_squared_error 0.3468045507556317 root_mean_squared_error 0.3529059177044049 root_mean_squared_error 0.3590793227715297 root_mean_squared_error 0.35251835459444103 root_mean_squared_error 0.3392637541022155 root_mean_squared_error 0.35849316612416515 root_relative_squared_error 0.7399909931438289 root_relative_squared_error 0.7096859974943653 root_relative_squared_error 0.7311472242170807 root_relative_squared_error 0.7209208852766781 root_relative_squared_error 0.7262743317146318 root_relative_squared_error 0.7390517482554786 root_relative_squared_error 0.7519800262430678 root_relative_squared_error 0.738240117790789 root_relative_squared_error 0.7104824770860723 root_relative_squared_error 0.7507525033446018 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 unweighted_recall 0.7955871077941362 [0.929498,0.661677] unweighted_recall 0.8161060375197741 [0.937601,0.694611] unweighted_recall 0.7922581184831192 [0.962693,0.621824] unweighted_recall 0.8000174571481566 [0.931873,0.668161] unweighted_recall 0.8018941005749948 [0.941606,0.662182] unweighted_recall 0.7840205266967075 [0.943228,0.624813] unweighted_recall 0.7852607115970017 [0.93674,0.633782] unweighted_recall 0.7997155939612814 [0.943228,0.656203] unweighted_recall 0.8052891522008736 [0.942417,0.668161] unweighted_recall 0.7917325855854873 [0.930251,0.653214] usercpu_time_millis 359.375 usercpu_time_millis 359.375 usercpu_time_millis 343.75 usercpu_time_millis 328.125 usercpu_time_millis 359.375 usercpu_time_millis 343.75 usercpu_time_millis 343.75 usercpu_time_millis 359.375 usercpu_time_millis 328.125 usercpu_time_millis 312.5 usercpu_time_millis_testing 265.625 usercpu_time_millis_testing 250 usercpu_time_millis_testing 250 usercpu_time_millis_testing 234.375 usercpu_time_millis_testing 250 usercpu_time_millis_testing 250 usercpu_time_millis_testing 234.375 usercpu_time_millis_testing 250 usercpu_time_millis_testing 234.375 usercpu_time_millis_testing 218.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 109.375 usercpu_time_millis_training 109.375 usercpu_time_millis_training 93.75 usercpu_time_millis_training 93.75 wall_clock_time_millis 365.7879829406738 wall_clock_time_millis 346.8196392059326 wall_clock_time_millis 342.8027629852295 wall_clock_time_millis 336.8246555328369 wall_clock_time_millis 358.81567001342773 wall_clock_time_millis 338.8044834136963 wall_clock_time_millis 345.797061920166 wall_clock_time_millis 349.79891777038574 wall_clock_time_millis 338.8025760650635 wall_clock_time_millis 327.8155326843262 wall_clock_time_millis_testing 268.8262462615967 wall_clock_time_millis_testing 249.87435340881348 wall_clock_time_millis_testing 248.87728691101074 wall_clock_time_millis_testing 244.8599338531494 wall_clock_time_millis_testing 259.8714828491211 wall_clock_time_millis_testing 242.8579330444336 wall_clock_time_millis_testing 241.85967445373535 wall_clock_time_millis_testing 246.8585968017578 wall_clock_time_millis_testing 241.83988571166992 wall_clock_time_millis_testing 235.8686923980713 wall_clock_time_millis_training 96.96173667907715 wall_clock_time_millis_training 96.94528579711914 wall_clock_time_millis_training 93.92547607421875 wall_clock_time_millis_training 91.9647216796875 wall_clock_time_millis_training 98.94418716430664 wall_clock_time_millis_training 95.9465503692627 wall_clock_time_millis_training 103.93738746643066 wall_clock_time_millis_training 102.94032096862793 wall_clock_time_millis_training 96.96269035339355 wall_clock_time_millis_training 91.94684028625488 weighted_recall 0.8354363827549948 [0.929498,0.661677] weighted_recall 0.852260778128286 [0.937601,0.694611] weighted_recall 0.8427970557308097 [0.962693,0.621824] weighted_recall 0.8391167192429022 [0.931873,0.668161] weighted_recall 0.843322818086225 [0.941606,0.662182] weighted_recall 0.831230283911672 [0.943228,0.624813] weighted_recall 0.8301787592008412 [0.93674,0.633782] weighted_recall 0.8422712933753943 [0.943228,0.656203] weighted_recall 0.8459516298633017 [0.942417,0.668161] weighted_recall 0.832807570977918 [0.930251,0.653214]