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Binary classification

Model Dataset Accuracy F1 Memory in Mb Time in s
ADWIN Bagging Bananas 0.625967 0.448218 0.416215 147.786
ADWIN Bagging Elec2 0.823285 0.777237 0.733135 1359.96
ADWIN Bagging Phishing 0.893515 0.879201 1.34233 106.016
ADWIN Bagging SMTP 0.999748 0.368421 1.09872 1278.41
ALMA Bananas 0.506415 0.482595 0.0029211 11.8441
ALMA Elec2 0.906402 0.889756 0.00435829 129.979
ALMA Phishing 0.8264 0.811795 0.0045805 4.33824
ALMA SMTP 0.764971 0.00178548 0.00309372 202.144
AdaBoost Bananas 0.677864 0.645041 0.468451 140.518
AdaBoost Elec2 0.875119 0.851923 14.8672 1611.8
AdaBoost Phishing 0.878303 0.863555 0.899108 53.255
AdaBoost SMTP 0.999622 0.526316 1.46643 848.066
Adaptive Random Forest Bananas 0.88696 0.871542 13.8454 307.673
Adaptive Random Forest Elec2 0.87662 0.851959 20.3554 2086.72
Adaptive Random Forest Phishing 0.908727 0.896926 3.82644 123.578
Adaptive Random Forest SMTP 0.999811 0.653846 1.32656 1588.86
Bagging Bananas 0.634082 0.459437 0.722435 194.332
Bagging Elec2 0.841939 0.804093 3.20333 2236.85
Bagging Phishing 0.893515 0.879201 1.42051 103.926
Bagging SMTP 0.999748 0.368421 1.36508 1929.49
Hoeffding Adaptive Tree Bananas 0.616531 0.42825 0.0624046 19.3398
Hoeffding Adaptive Tree Elec2 0.828672 0.795392 0.399325 382.504
Hoeffding Adaptive Tree Phishing 0.874299 0.856095 0.144985 12.0149
Hoeffding Adaptive Tree SMTP 0.999548 0.358209 0.137261 255.925
Hoeffding Tree Bananas 0.642197 0.503405 0.0602674 15.6935
Hoeffding Tree Elec2 0.796993 0.759154 1.18787 137.818
Hoeffding Tree Phishing 0.879904 0.860595 0.134742 5.7113
Hoeffding Tree SMTP 0.999622 0.419355 0.10326 230.368
Leveraging Bagging Bananas 0.828269 0.802603 3.31306 301.152
Leveraging Bagging Elec2 0.892382 0.871457 4.89464 4013.28
Leveraging Bagging Phishing 0.895116 0.878366 3.93267 254.561
Leveraging Bagging SMTP 0.999779 0.553191 1.32725 3620.36
Logistic regression Bananas 0.543019 0.195349 0.00424099 12.8476
Logistic regression Elec2 0.822163 0.777151 0.005373 151.719
Logistic regression Phishing 0.888 0.872263 0.00556469 4.74798
Logistic regression SMTP 0.999769 0.421053 0.00438309 146.608
Naive Bayes Bananas 0.61521 0.413912 0.0140247 21.4993
Naive Bayes Elec2 0.728714 0.603823 0.0510378 183.712
Naive Bayes Phishing 0.884708 0.871429 0.05723 8.45491
Naive Bayes SMTP 0.993484 0.0490798 0.0201406 263.696
Stacking Bananas 0.850349 0.829938 21.2839 421.54
Stacking Elec2 0.896797 0.877621 42.8805 3675.44
Stacking Phishing 0.899119 0.886691 4.31951 185.738
Stacking SMTP 0.99979 0.52381 1.51676 3474.07
Streaming Random Patches Bananas 0.869032 0.850817 12.1355 492.613
Streaming Random Patches Elec2 0.882249 0.859113 58.3436 5128.27
Streaming Random Patches Phishing 0.911129 0.89991 7.09044 222.948
Streaming Random Patches SMTP 0.999832 0.666667 1.41018 3718.08
Voting Bananas 0.830157 0.794989 0.122465 78.6442
Voting Elec2 0.858871 0.820255 1.31479 729.274
Voting Phishing 0.890312 0.876909 0.270739 50.7734
Voting SMTP 0.999685 0.53125 0.17401 1099.49
Vowpal Wabbit logistic regression Bananas 0.551321 0 0.000646591 14.0488
Vowpal Wabbit logistic regression Elec2 0.697439 0.459628 0.000646591 168.403
Vowpal Wabbit logistic regression Phishing 0.7736 0.669778 0.000646591 4.23902
Vowpal Wabbit logistic regression SMTP 0.999695 0.121212 0.000646591 218.564
[baseline] Last Class Bananas 0.50953 0.452957 0.000510216 2.21764
[baseline] Last Class Elec2 0.853352 0.827316 0.000510216 26.8887
[baseline] Last Class Phishing 0.515612 0.447489 0.000510216 1.7058
[baseline] Last Class SMTP 0.999601 0.366667 0.000510216 88.1401
k-Nearest Neighbors Bananas 0.848462 0.827423 0.0418806 60.5128
k-Nearest Neighbors Elec2 0.884435 0.862904 0.0689526 421.994
k-Nearest Neighbors Phishing 0.867094 0.847985 0.0714331 14.7191
k-Nearest Neighbors SMTP 0.999853 0.740741 0.0443382 606.731
sklearn SGDClassifier Bananas 0.546604 0.205094 0.00549507 83.2497
sklearn SGDClassifier Elec2 0.819051 0.772854 0.00667286 497.166
sklearn SGDClassifier Phishing 0.8888 0.875336 0.00687218 22.1178
sklearn SGDClassifier SMTP 0.999748 0.4 0.0056448 960.794

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Last Class", "dataset": "SMTP", "Accuracy": 0.99952705631971, "F1": 0.3793103448275862, "Memory in Mb": 0.0005102157592773, "Time in s": 56.660361000000016 }, { "step": 78023, "track": "Binary classification", "model": "[baseline] Last Class", "dataset": "SMTP", "Accuracy": 0.99953859167927, "F1": 0.3793103448275862, "Memory in Mb": 0.0005102157592773, "Time in s": 59.49662100000002 }, { "step": 79926, "track": "Binary classification", "model": "[baseline] Last Class", "dataset": "SMTP", "Accuracy": 0.999549577729121, "F1": 0.3793103448275862, "Memory in Mb": 0.0005102157592773, "Time in s": 62.40230700000002 }, { "step": 81829, "track": "Binary classification", "model": "[baseline] Last Class", "dataset": "SMTP", "Accuracy": 0.9995600527936648, "F1": 0.3793103448275862, "Memory in Mb": 0.0005102157592773, "Time in s": 65.37601400000003 }, { "step": 83732, "track": "Binary classification", "model": "[baseline] Last Class", "dataset": "SMTP", "Accuracy": 0.9995700517132244, "F1": 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Datasets

Bananas

Bananas dataset.

An artificial dataset where instances belongs to several clusters with a banana shape. There are two attributes that correspond to the x and y axis, respectively.

Name  Bananas                                               
Task  Binary classification

Samples 5,300
Features 2
Sparse False
Path /home/kulbach/projects/river/river/datasets/banana.zip

Elec2

Electricity prices in New South Wales.

This is a binary classification task, where the goal is to predict if the price of electricity will go up or down.

This data was collected from the Australian New South Wales Electricity Market. In this market, prices are not fixed and are affected by demand and supply of the market. They are set every five minutes. Electricity transfers to/from the neighboring state of Victoria were done to alleviate fluctuations.

  Name  Elec2                                                      
  Task  Binary classification

Samples 45,312
Features 8
Sparse False
Path /home/kulbach/river_data/Elec2/electricity.csv
URL https://maxhalford.github.io/files/datasets/electricity.zip Size 2.95 MB
Downloaded True

Phishing

Phishing websites.

This dataset contains features from web pages that are classified as phishing or not.

Name  Phishing                                                   
Task  Binary classification

Samples 1,250
Features 9
Sparse False
Path /home/kulbach/projects/river/river/datasets/phishing.csv.gz

SMTP

SMTP dataset from the KDD 1999 cup.

The goal is to predict whether or not an SMTP connection is anomalous or not. The dataset only contains 2,211 (0.4%) positive labels.

  Name  SMTP                                                
  Task  Binary classification

Samples 95,156
Features 3
Sparse False
Path /home/kulbach/river_data/SMTP/smtp.csv
URL https://maxhalford.github.io/files/datasets/smtp.zip Size 5.23 MB
Downloaded True

Models

Logistic regression 

Pipeline (
  StandardScaler (
    with_std=True
  ),
  LogisticRegression (
    optimizer=SGD (
      lr=Constant (
        learning_rate=0.005
      )
    )
    loss=Log (
      weight_pos=1.
      weight_neg=1.
    )
    l2=0.
    l1=0.
    intercept_init=0.
    intercept_lr=Constant (
      learning_rate=0.01
    )
    clip_gradient=1e+12
    initializer=Zeros ()
  )
)

ALMA 

Pipeline (
  StandardScaler (
    with_std=True
  ),
  ALMAClassifier (
    p=2
    alpha=0.9
    B=1.111111
    C=1.414214
  )
)

sklearn SGDClassifier 

Pipeline (
  StandardScaler (
    with_std=True
  ),
  SKL2RiverClassifier (
    estimator=SGDClassifier(eta0=0.005, learning_rate='constant', loss='log', penalty='none')
    classes=[False, True]
  )
)

Vowpal Wabbit logistic regression 

VW2RiverClassifier ()

Naive Bayes 

GaussianNB ()

Hoeffding Tree 

HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)

Hoeffding Adaptive Tree 

HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=True
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=42
)

Adaptive Random Forest 

[]

Streaming Random Patches 

SRPClassifier (
  model=HoeffdingTreeClassifier (
    grace_period=50
    max_depth=inf
    split_criterion="info_gain"
    delta=0.01
    tau=0.05
    leaf_prediction="nba"
    nb_threshold=0
    nominal_attributes=None
    splitter=GaussianSplitter (
      n_splits=10
    )
    binary_split=False
    max_size=100.
    memory_estimate_period=1000000
    stop_mem_management=False
    remove_poor_attrs=False
    merit_preprune=True
  )
  n_models=10
  subspace_size=0.6
  training_method="patches"
  lam=6
  drift_detector=ADWIN (
    delta=1e-05
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  warning_detector=ADWIN (
    delta=0.0001
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  disable_detector="off"
  disable_weighted_vote=False
  seed=None
  metric=Accuracy (
    cm=ConfusionMatrix (
      classes=[]
    )
  )
)

k-Nearest Neighbors 

Pipeline (
  StandardScaler (
    with_std=True
  ),
  KNNClassifier (
    n_neighbors=5
    window_size=100
    min_distance_keep=0.
    weighted=True
    cleanup_every=0
    distance_func=functools.partial(, p=2)
    softmax=False
  )
)

ADWIN Bagging 

[HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)]

AdaBoost 

[HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)]

Bagging 

[HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
), HoeffdingAdaptiveTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  bootstrap_sampling=False
  drift_window_threshold=300
  drift_detector=ADWIN (
    delta=0.002
    clock=32
    max_buckets=5
    min_window_length=5
    grace_period=10
  )
  switch_significance=0.05
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
  seed=None
)]

Leveraging Bagging 

[HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
)]

Stacking 

[Pipeline (
  StandardScaler (
    with_std=True
  ),
  SoftmaxRegression (
    optimizer=SGD (
      lr=Constant (
        learning_rate=0.01
      )
    )
    loss=CrossEntropy (
      class_weight={}
    )
    l2=0
  )
), GaussianNB (), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), Pipeline (
  StandardScaler (
    with_std=True
  ),
  KNNClassifier (
    n_neighbors=5
    window_size=100
    min_distance_keep=0.
    weighted=True
    cleanup_every=0
    distance_func=functools.partial(, p=2)
    softmax=False
  )
)]

Voting 

VotingClassifier (
  models=[Pipeline (
  StandardScaler (
    with_std=True
  ),
  SoftmaxRegression (
    optimizer=SGD (
      lr=Constant (
        learning_rate=0.01
      )
    )
    loss=CrossEntropy (
      class_weight={}
    )
    l2=0
  )
), GaussianNB (), HoeffdingTreeClassifier (
  grace_period=200
  max_depth=inf
  split_criterion="info_gain"
  delta=1e-07
  tau=0.05
  leaf_prediction="nba"
  nb_threshold=0
  nominal_attributes=None
  splitter=GaussianSplitter (
    n_splits=10
  )
  binary_split=False
  max_size=100.
  memory_estimate_period=1000000
  stop_mem_management=False
  remove_poor_attrs=False
  merit_preprune=True
), Pipeline (
  StandardScaler (
    with_std=True
  ),
  KNNClassifier (
    n_neighbors=5
    window_size=100
    min_distance_keep=0.
    weighted=True
    cleanup_every=0
    distance_func=functools.partial(, p=2)
    softmax=False
  )
)]
  use_probabilities=True
)

[baseline] Last Class 

NoChangeClassifier ()

Environment

Python implementation: CPython
Python version       : 3.10.11
IPython version      : 8.13.2

river       : 0.16.0
numpy       : 1.24.3
scikit-learn: 1.2.2
pandas      : 2.0.1
scipy       : 1.10.1

Compiler    : GCC 11.3.0
OS          : Linux
Release     : 5.15.0-1036-azure
Machine     : x86_64
Processor   : x86_64
CPU cores   : 2
Architecture: 64bit