Binary classification

Bananas

Summary

Model	Accuracy	F1	Memory in Mb	Time in s
ADWIN Bagging	0.625967	0.448218	0.400658	942.73
ALMA	0.506415	0.482595	0.0029211	68.9731
AdaBoost	0.677864	0.645041	0.453154	876.714
Adaptive Random Forest	0.88696	0.871707	15.3551	2603.02
Aggregated Mondrian Forest	0.889413	0.874249	17.2377	2954.75
Bagging	0.634082	0.459437	0.703124	1170.85
Hoeffding Adaptive Tree	0.616531	0.42825	0.0618467	163.516
Hoeffding Tree	0.642197	0.503405	0.0594654	93.5302
Leveraging Bagging	0.828269	0.802689	3.23571	2747.95
Logistic regression	0.543208	0.197015	0.00424099	82.0689
Naive Bayes	0.61521	0.413912	0.0140247	97.154
Stacking	0.876203	0.859649	19.1946	5236.84
Streaming Random Patches	0.871674	0.854265	10.5381	3551.41
Voting	0.872617	0.849162	4.58403	2790.97
Vowpal Wabbit logistic regression	0.551321	0	0.000646591	88.7248
[baseline] Last Class	0.50953	0.452957	0.000510216	30.809
k-Nearest Neighbors	0.885073	0.870838	4.50996	2974.33
sklearn SGDClassifier	0.546415	0.205026	0.00557804	621.426

Charts

Elec2

Summary

Model	Accuracy	F1	Memory in Mb	Time in s
ADWIN Bagging	0.823773	0.776587	0.598438	8970.15
ALMA	0.906427	0.889767	0.00435829	836.498
AdaBoost	0.880581	0.858687	13.5424	10153.7
Adaptive Random Forest	0.876608	0.852391	22.3949	12397.6
Aggregated Mondrian Forest	0.849904	0.819731	287.315	18206.6
Bagging	0.840436	0.80208	2.28896	13164.5
Hoeffding Adaptive Tree	0.821258	0.787344	0.435328	2980.69
Hoeffding Tree	0.795635	0.750834	0.938466	1485.98
Leveraging Bagging	0.892653	0.871966	7.56535	18763.3
Logistic regression	0.822144	0.777086	0.005373	953.54
Naive Bayes	0.728741	0.603785	0.0510378	1230.66
Stacking	0.885458	0.864157	40.7547	22944.4
Streaming Random Patches	0.868884	0.843009	107.322	22969
Voting	0.84368	0.797958	5.7575	13925.5
Vowpal Wabbit logistic regression	0.697475	0.459592	0.000646591	937.011
[baseline] Last Class	0.853303	0.827229	0.000510216	341.39
k-Nearest Neighbors	0.853148	0.823642	4.76604	13503.4
sklearn SGDClassifier	0.819099	0.772892	0.00680161	4291.77

Charts

Phishing

Summary

Model	Accuracy	F1	Memory in Mb	Time in s
ADWIN Bagging	0.893515	0.879201	1.31008	568.218
ALMA	0.8256	0.810764	0.0045805	29.7613
AdaBoost	0.878303	0.863555	0.873312	552.609
Adaptive Random Forest	0.907926	0.896116	4.10291	743.377
Aggregated Mondrian Forest	0.904724	0.892112	3.39106	807.573
Bagging	0.893515	0.879201	1.38826	633.136
Hoeffding Adaptive Tree	0.874299	0.856095	0.142962	77.865
Hoeffding Tree	0.879904	0.860595	0.132719	54.2758
Leveraging Bagging	0.894315	0.877323	4.0114	1619.65
Logistic regression	0.8872	0.871233	0.00556469	29.2066
Naive Bayes	0.884708	0.871429	0.05723	38.528
Stacking	0.895116	0.882722	8.72124	2411.41
Streaming Random Patches	0.913531	0.901996	6.59559	1436.69
Voting	0.896717	0.884512	4.8203	1436.72
Vowpal Wabbit logistic regression	0.7736	0.669778	0.000646591	27.8334
[baseline] Last Class	0.515612	0.447489	0.000510216	11.9196
k-Nearest Neighbors	0.881505	0.867145	4.59643	1552.65
sklearn SGDClassifier	0.8896	0.876122	0.00701618	167.984

Charts

SMTP

Summary

Model	Accuracy	F1	Memory in Mb	Time in s
ADWIN Bagging	0.999685	0	0.164217	8006.78
ALMA	0.764986	0.00178548	0.00309372	1361.61
AdaBoost	0.999443	0.404494	1.33633	6617.5
Adaptive Random Forest	0.999685	0	0.327095	11543.4
Aggregated Mondrian Forest	0.999863	0.734694	0.211749	5848.87
Bagging	0.999685	0	0.207971	8814.84
Hoeffding Adaptive Tree	0.999685	0	0.0241137	2094.95
Hoeffding Tree	0.999685	0	0.0170441	1543.56
Leveraging Bagging	0.999674	0	0.164603	17549.6
Logistic regression	0.999769	0.421053	0.00438309	1531.37
Naive Bayes	0.993484	0.0490798	0.0201406	1826.47
Stacking	0.999685	0	4.88868	24733.2
Streaming Random Patches	0.999685	0	0.17817	18142.3
Voting	0.999779	0.487805	4.60205	18069.8
Vowpal Wabbit logistic regression	0.999695	0.121212	0.000646591	1631.37
[baseline] Last Class	0.999601	0.366667	0.000510216	532.359
k-Nearest Neighbors	0.999821	0.666667	4.51822	17961.1
sklearn SGDClassifier	0.999706	0.363636	0.00574303	7118.18

Charts

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 /Users/mastelini/miniconda3/envs/river-benchmark/lib/python3.10/site-packages/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 /Users/mastelini/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 /Users/mastelini/miniconda3/envs/river-benchmark/lib/python3.10/site-packages/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 /Users/mastelini/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 ()
  )
)

Aggregated Mondrian Forest

[]

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_loss',
                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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
    min_branch_fraction=0.01
    max_share_to_split=0.99
    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
    engine=SWINN (
      graph_k=20
      dist_func=FunctionWrapper (
        distance_function=functools.partial(, p=2)
      )
      maxlen=1000
      warm_up=500
      max_candidates=50
      delta=0.0001
      prune_prob=0.
      n_iters=10
      seed=None
    )
    weighted=True
    cleanup_every=0
    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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
    engine=SWINN (
      graph_k=20
      dist_func=FunctionWrapper (
        distance_function=functools.partial(, p=2)
      )
      maxlen=1000
      warm_up=500
      max_candidates=50
      delta=0.0001
      prune_prob=0.
      n_iters=10
      seed=None
    )
    weighted=True
    cleanup_every=0
    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
  min_branch_fraction=0.01
  max_share_to_split=0.99
  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
    engine=SWINN (
      graph_k=20
      dist_func=FunctionWrapper (
        distance_function=functools.partial(, p=2)
      )
      maxlen=1000
      warm_up=500
      max_candidates=50
      delta=0.0001
      prune_prob=0.
      n_iters=10
      seed=None
    )
    weighted=True
    cleanup_every=0
    softmax=False
  )
)]
  use_probabilities=True
)

[baseline] Last Class

NoChangeClassifier ()

Environment

Python implementation: CPython
Python version       : 3.12.12
IPython version      : 8.29.0

river       : 0.23.0
numpy       : 2.0.2
scikit-learn: 1.5.1
pandas      : 2.2.3
scipy       : 1.14.1

Compiler    : GCC 13.3.0
OS          : Linux
Release     : 6.11.0-1018-azure
Machine     : x86_64
Processor   : x86_64
CPU cores   : 4
Architecture: 64bit