Speeds up ../examples/model_selection/plot_randomized_search.py (Issue #21598) by

• only using 3 (instead of 10) label classes from the digits dataset
• reducing the size of the "alpha" search dimension a little bit, which reduces number of candidate settings from 100 to 60 for GridSearchCV
• reducing number of search iterations from 20 to 15 for RandomizedSearchCV

Example now runs in sub 7s, previously 3-4 min.

Output now:

randomizedSearchCV took 1.20 seconds for 15 candidates parameter settings.
Model with rank: 1
Mean validation score: 0.985 (std: 0.017)
Parameters: {'alpha': 0.42727143483962227, 'average': False, 'l1_ratio': 0.21100288847068727}

Model with rank: 2
Mean validation score: 0.985 (std: 0.015)
Parameters: {'alpha': 0.01923065446247222, 'average': False, 'l1_ratio': 0.4570654700132295}

Model with rank: 3
Mean validation score: 0.985 (std: 0.013)
Parameters: {'alpha': 0.18482179083229622, 'average': False, 'l1_ratio': 0.9627445435714047}

GridSearchCV took 4.71 seconds for 60 candidate parameter settings.
Model with rank: 1
Mean validation score: 0.993 (std: 0.004)
Parameters: {'alpha': 1.0, 'average': False, 'l1_ratio': 0.0}

Model with rank: 2
Mean validation score: 0.989 (std: 0.014)
Parameters: {'alpha': 0.01, 'average': False, 'l1_ratio': 0.0}

Model with rank: 2
Mean validation score: 0.989 (std: 0.014)
Parameters: {'alpha': 0.01, 'average': False, 'l1_ratio': 0.2222222222222222}

Previous output:

RandomizedSearchCV took 37.23 seconds for 20 candidates parameter settings.
Model with rank: 1
Mean validation score: 0.920 (std: 0.028)
Parameters: {'alpha': 0.07316411520495676, 'average': False, 'l1_ratio': 0.29007760721044407}

Model with rank: 2
Mean validation score: 0.920 (std: 0.029)
Parameters: {'alpha': 0.0005223493320259539, 'average': True, 'l1_ratio': 0.7936977033574206}

Model with rank: 3
Mean validation score: 0.918 (std: 0.031)
Parameters: {'alpha': 0.00025790124268693137, 'average': True, 'l1_ratio': 0.5699649107012649}

GridSearchCV took 187.33 seconds for 100 candidate parameter settings.
Model with rank: 1
Mean validation score: 0.931 (std: 0.026)
Parameters: {'alpha': 0.0001, 'average': True, 'l1_ratio': 0.0}

Model with rank: 2
Mean validation score: 0.928 (std: 0.030)
Parameters: {'alpha': 0.0001, 'average': True, 'l1_ratio': 0.1111111111111111}

Model with rank: 3
Mean validation score: 0.927 (std: 0.026)
Parameters: {'alpha': 0.0001, 'average': True, 'l1_ratio': 0.5555555555555556}