Absolute improvement: 0.0%
Should we releases this commit? True. Why? We should release IF this has other improvements since it isn't worst
A total of 0 datasets are missing
A total of 0 datasets are performing better
A total of 0 datasets are performing worst
A total of 58 datasets are about the same
Dataset: amazon_food
Mean acc: 0.398
95% or 0.005 around the mean CI: [0.383, 0.412]
Dataset: arrivals
Mean acc: 0.128
95% or 0.005 around the mean CI: [nan, nan]
Dataset: arrivals
Mean acc: 1.44
95% or 0.005 around the mean CI: [nan, nan]
Dataset: australian_retail
Mean acc: 0.848
95% or 0.005 around the mean CI: [nan, nan]
Dataset: australian_retail
Mean acc: 0.812
95% or 0.005 around the mean CI: [nan, nan]
Dataset: automobile_insurance
Mean acc: 0.659
95% or 0.005 around the mean CI: [0.628, 0.69]
Dataset: bike_sharing_demand
Mean acc: 0.43
95% or 0.005 around the mean CI: [nan, nan]
Dataset: bike_sharing_demand
Mean acc: 0.496
95% or 0.005 around the mean CI: [nan, nan]
Dataset: chicago_transit_ts
Mean acc: 0.498
95% or 0.005 around the mean CI: [nan, nan]
Dataset: chicago_transit_ts
Mean acc: 2.079
95% or 0.005 around the mean CI: [nan, nan]
Dataset: concrete_strength
Mean acc: 0.899
95% or 0.005 around the mean CI: [0.839, 0.958]
Dataset: covid_icu_utilization
Mean acc: 0.903
95% or 0.005 around the mean CI: [nan, nan]
Dataset: covid_icu_utilization
Mean acc: 0.413
95% or 0.005 around the mean CI: [nan, nan]
Dataset: data_professional_salary
Mean acc: 0.232
95% or 0.005 around the mean CI: [0.072, 0.391]
Dataset: diamonds
Mean acc: 0.995
95% or 0.005 around the mean CI: [0.977, 1]
Dataset: dielectron
Mean acc: 0.996
95% or 0.005 around the mean CI: [0.991, 1]
Dataset: eeg_eyes
Mean acc: 0.991
95% or 0.005 around the mean CI: [nan, nan]
Dataset: hdi
Mean acc: 0.925
95% or 0.005 around the mean CI: [0.791, 1]
Dataset: heart_disease
Mean acc: 0.822
95% or 0.005 around the mean CI: [0.697, 0.948]
Dataset: home_rentals
Mean acc: 1.0
95% or 0.005 around the mean CI: [0.995, 1]
Dataset: hospital_costs
Mean acc: 0.518
95% or 0.005 around the mean CI: [0, 1]
Dataset: insurance_claims
Mean acc: 0.977
95% or 0.005 around the mean CI: [0.927, 1]
Dataset: ionosphere
Mean acc: 0.888
95% or 0.005 around the mean CI: [0.815, 0.961]
Dataset: kin8nm
Mean acc: 0.811
95% or 0.005 around the mean CI: [0.792, 0.83]
Dataset: loan_predication
Mean acc: 0.686
95% or 0.005 around the mean CI: [0.58, 0.792]
Dataset: melbourne_temps
Mean acc: 0.479
95% or 0.005 around the mean CI: [nan, nan]
Dataset: melbourne_temps
Mean acc: 0.827
95% or 0.005 around the mean CI: [nan, nan]
Dataset: micro_mass
Mean acc: 0.195
95% or 0.005 around the mean CI: [0.179, 0.211]
Dataset: mindsdb_traffic
Mean acc: 0.712
95% or 0.005 around the mean CI: [0.39, 1]
Dataset: monthly_sunspots
Mean acc: 0.737
95% or 0.005 around the mean CI: [nan, nan]
Dataset: monthly_sunspots
Mean acc: 1.061
95% or 0.005 around the mean CI: [nan, nan]
Dataset: occupancy_detection_ts
Mean acc: 0.993
95% or 0.005 around the mean CI: [nan, nan]
Dataset: openml_abalone
Mean acc: 0.124
95% or 0.005 around the mean CI: [0.082, 0.167]
Dataset: openml_amazon
Mean acc: 0.53
95% or 0.005 around the mean CI: [0.476, 0.584]
Dataset: openml_australian
Mean acc: 0.869
95% or 0.005 around the mean CI: [0.797, 0.941]
Dataset: openml_bank
Mean acc: 0.848
95% or 0.005 around the mean CI: [0.84, 0.857]
Dataset: openml_car
Mean acc: 0.911
95% or 0.005 around the mean CI: [0.845, 0.977]
Dataset: openml_creditg
Mean acc: 0.692
95% or 0.005 around the mean CI: [0.522, 0.863]
Dataset: openml_jasmine
Mean acc: 0.798
95% or 0.005 around the mean CI: [0.793, 0.803]
Dataset: openml_kc1
Mean acc: 0.572
95% or 0.005 around the mean CI: [0.483, 0.661]
Dataset: openml_mfeat
Mean acc: 0.429
95% or 0.005 around the mean CI: [0.272, 0.586]
Dataset: openml_phoneme
Mean acc: 0.847
95% or 0.005 around the mean CI: [0.787, 0.906]
Dataset: openml_segment
Mean acc: 0.974
95% or 0.005 around the mean CI: [0.954, 0.994]
Dataset: openml_sylvine
Mean acc: 0.944
95% or 0.005 around the mean CI: [0.926, 0.962]
Dataset: openml_transfusion
Mean acc: 0.65
95% or 0.005 around the mean CI: [0.494, 0.806]
Dataset: openml_vehicle
Mean acc: 0.758
95% or 0.005 around the mean CI: [0.689, 0.826]
Dataset: pageviews
Mean acc: 0.202
95% or 0.005 around the mean CI: [nan, nan]
Dataset: pageviews
Mean acc: 0.644
95% or 0.005 around the mean CI: [nan, nan]
Dataset: plantar_fasciitis
Mean acc: 0.954
95% or 0.005 around the mean CI: [0.851, 1]
Dataset: price_of_weed
Mean acc: 1.0
95% or 0.005 around the mean CI: [0.995, 1]
Dataset: stack_overflow_survey
Mean acc: 0.734
95% or 0.005 around the mean CI: [0.729, 0.739]
Dataset: travel_insurance
Mean acc: 0.751
95% or 0.005 around the mean CI: [0.746, 0.756]
Dataset: tripadvisor_binary
Mean acc: 0.879
95% or 0.005 around the mean CI: [0.865, 0.892]
Dataset: used_car_price
Mean acc: 0.951
95% or 0.005 around the mean CI: [0.946, 0.956]
Dataset: us_consumption
Mean acc: 0.123
95% or 0.005 around the mean CI: [nan, nan]
Dataset: us_consumption
Mean acc: 0.921
95% or 0.005 around the mean CI: [nan, nan]
Dataset: us_health_insurance
Mean acc: 0.854
95% or 0.005 around the mean CI: [0.837, 0.87]
Dataset: wine_quality
Mean acc: 0.29
95% or 0.005 around the mean CI: [0.242, 0.337]
Dataset: amazon_food
Mean acc: 0.398
95% or 0.005 around the mean CI: [0.383, 0.412]
Dataset: arrivals
Mean acc: 0.128
95% or 0.005 around the mean CI: [nan, nan]
Dataset: arrivals
Mean acc: 1.44
95% or 0.005 around the mean CI: [nan, nan]
Dataset: australian_retail
Mean acc: 0.848
95% or 0.005 around the mean CI: [nan, nan]
Dataset: australian_retail
Mean acc: 0.812
95% or 0.005 around the mean CI: [nan, nan]
Dataset: automobile_insurance
Mean acc: 0.659
95% or 0.005 around the mean CI: [0.628, 0.69]
Dataset: bike_sharing_demand
Mean acc: 0.43
95% or 0.005 around the mean CI: [nan, nan]
Dataset: bike_sharing_demand
Mean acc: 0.496
95% or 0.005 around the mean CI: [nan, nan]
Dataset: chicago_transit_ts
Mean acc: 0.498
95% or 0.005 around the mean CI: [nan, nan]
Dataset: chicago_transit_ts
Mean acc: 2.079
95% or 0.005 around the mean CI: [nan, nan]
Dataset: concrete_strength
Mean acc: 0.899
95% or 0.005 around the mean CI: [0.839, 0.958]
Dataset: covid_icu_utilization
Mean acc: 0.903
95% or 0.005 around the mean CI: [nan, nan]
Dataset: covid_icu_utilization
Mean acc: 0.413
95% or 0.005 around the mean CI: [nan, nan]
Dataset: data_professional_salary
Mean acc: 0.232
95% or 0.005 around the mean CI: [0.072, 0.391]
Dataset: diamonds
Mean acc: 0.995
95% or 0.005 around the mean CI: [0.977, 1]
Dataset: dielectron
Mean acc: 0.996
95% or 0.005 around the mean CI: [0.991, 1]
Dataset: eeg_eyes
Mean acc: 0.991
95% or 0.005 around the mean CI: [nan, nan]
Dataset: hdi
Mean acc: 0.925
95% or 0.005 around the mean CI: [0.791, 1]
Dataset: heart_disease
Mean acc: 0.822
95% or 0.005 around the mean CI: [0.697, 0.948]
Dataset: home_rentals
Mean acc: 1.0
95% or 0.005 around the mean CI: [0.995, 1]
Dataset: hospital_costs
Mean acc: 0.518
95% or 0.005 around the mean CI: [0, 1]
Dataset: insurance_claims
Mean acc: 0.977
95% or 0.005 around the mean CI: [0.927, 1]
Dataset: ionosphere
Mean acc: 0.888
95% or 0.005 around the mean CI: [0.815, 0.961]
Dataset: kin8nm
Mean acc: 0.811
95% or 0.005 around the mean CI: [0.792, 0.83]
Dataset: loan_predication
Mean acc: 0.686
95% or 0.005 around the mean CI: [0.58, 0.792]
Dataset: melbourne_temps
Mean acc: 0.479
95% or 0.005 around the mean CI: [nan, nan]
Dataset: melbourne_temps
Mean acc: 0.827
95% or 0.005 around the mean CI: [nan, nan]
Dataset: micro_mass
Mean acc: 0.195
95% or 0.005 around the mean CI: [0.179, 0.211]
Dataset: mindsdb_traffic
Mean acc: 0.712
95% or 0.005 around the mean CI: [0.39, 1]
Dataset: monthly_sunspots
Mean acc: 0.737
95% or 0.005 around the mean CI: [nan, nan]
Dataset: monthly_sunspots
Mean acc: 1.061
95% or 0.005 around the mean CI: [nan, nan]
Dataset: occupancy_detection_ts
Mean acc: 0.993
95% or 0.005 around the mean CI: [nan, nan]
Dataset: openml_abalone
Mean acc: 0.124
95% or 0.005 around the mean CI: [0.082, 0.167]
Dataset: openml_amazon
Mean acc: 0.53
95% or 0.005 around the mean CI: [0.476, 0.584]
Dataset: openml_australian
Mean acc: 0.869
95% or 0.005 around the mean CI: [0.797, 0.941]
Dataset: openml_bank
Mean acc: 0.848
95% or 0.005 around the mean CI: [0.84, 0.857]
Dataset: openml_car
Mean acc: 0.911
95% or 0.005 around the mean CI: [0.845, 0.977]
Dataset: openml_creditg
Mean acc: 0.692
95% or 0.005 around the mean CI: [0.522, 0.863]
Dataset: openml_jasmine
Mean acc: 0.798
95% or 0.005 around the mean CI: [0.793, 0.803]
Dataset: openml_kc1
Mean acc: 0.572
95% or 0.005 around the mean CI: [0.483, 0.661]
Dataset: openml_mfeat
Mean acc: 0.429
95% or 0.005 around the mean CI: [0.272, 0.586]
Dataset: openml_phoneme
Mean acc: 0.847
95% or 0.005 around the mean CI: [0.787, 0.906]
Dataset: openml_segment
Mean acc: 0.974
95% or 0.005 around the mean CI: [0.954, 0.994]
Dataset: openml_sylvine
Mean acc: 0.944
95% or 0.005 around the mean CI: [0.926, 0.962]
Dataset: openml_transfusion
Mean acc: 0.65
95% or 0.005 around the mean CI: [0.494, 0.806]
Dataset: openml_vehicle
Mean acc: 0.758
95% or 0.005 around the mean CI: [0.689, 0.826]
Dataset: pageviews
Mean acc: 0.202
95% or 0.005 around the mean CI: [nan, nan]
Dataset: pageviews
Mean acc: 0.644
95% or 0.005 around the mean CI: [nan, nan]
Dataset: plantar_fasciitis
Mean acc: 0.954
95% or 0.005 around the mean CI: [0.851, 1]
Dataset: price_of_weed
Mean acc: 1.0
95% or 0.005 around the mean CI: [0.995, 1]
Dataset: stack_overflow_survey
Mean acc: 0.734
95% or 0.005 around the mean CI: [0.729, 0.739]
Dataset: travel_insurance
Mean acc: 0.751
95% or 0.005 around the mean CI: [0.746, 0.756]
Dataset: tripadvisor_binary
Mean acc: 0.879
95% or 0.005 around the mean CI: [0.865, 0.892]
Dataset: used_car_price
Mean acc: 0.951
95% or 0.005 around the mean CI: [0.946, 0.956]
Dataset: us_consumption
Mean acc: 0.123
95% or 0.005 around the mean CI: [nan, nan]
Dataset: us_consumption
Mean acc: 0.921
95% or 0.005 around the mean CI: [nan, nan]
Dataset: us_health_insurance
Mean acc: 0.854
95% or 0.005 around the mean CI: [0.837, 0.87]
Dataset: wine_quality
Mean acc: 0.29
95% or 0.005 around the mean CI: [0.242, 0.337]