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]