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Multiclass classification

Model Dataset Accuracy MicroF1 MacroF1 Memory in Mb Time in s
ADWIN Bagging ImageSegments 0.777729 0.777729 0.764912 4.14768 482.736
ADWIN Bagging Insects 0.579424 0.579424 0.570136 15.4446 12525.9
ADWIN Bagging Keystroke 0.805824 0.805824 0.80625 32.1812 8923.61
AdaBoost ImageSegments 0.805133 0.805133 0.798078 4.12853 438.219
AdaBoost Insects 0.554082 0.554082 0.543927 28.2902 12481.3
AdaBoost Keystroke 0.842492 0.842492 0.843635 177.385 12366.9
Adaptive Random Forest ImageSegments 0.819052 0.819052 0.814425 4.66081 227.541
Adaptive Random Forest Insects 0.744257 0.744257 0.741932 0.369647 4404.71
Adaptive Random Forest Keystroke 0.969851 0.969851 0.969867 2.33717 937.846
Bagging ImageSegments 0.77686 0.77686 0.764461 4.18729 482.036
Bagging Insects 0.606053 0.606053 0.598222 3.75006 14067.2
Bagging Keystroke 0.667974 0.667974 0.668853 50.4872 13509.1
Hoeffding Adaptive Tree ImageSegments 0.774685 0.774685 0.763496 0.425819 53.9974
Hoeffding Adaptive Tree Insects 0.611962 0.611962 0.602993 0.147679 1507.07
Hoeffding Adaptive Tree Keystroke 0.723712 0.723712 0.722393 0.727901 1274.73
Hoeffding Tree ImageSegments 0.77599 0.77599 0.763027 0.419177 39.4879
Hoeffding Tree Insects 0.537018 0.537018 0.527071 2.5392 921.351
Hoeffding Tree Keystroke 0.648218 0.648218 0.647249 5.09806 914.037
Leveraging Bagging ImageSegments 0.778164 0.778164 0.765914 4.13275 1135.16
Leveraging Bagging Insects 0.691547 0.691547 0.686411 18.1413 32334.1
Leveraging Bagging Keystroke 0.95039 0.95039 0.950468 10.4201 7265.02
Naive Bayes ImageSegments 0.731622 0.731622 0.730042 0.390004 38.4724
Naive Bayes Insects 0.506847 0.506847 0.493003 0.611693 557.606
Naive Bayes Keystroke 0.652532 0.652532 0.651577 4.86901 473.747
Stacking ImageSegments 0.849065 0.849065 0.847922 5.29567 399.289
Stacking Insects 0.752154 0.752154 0.750251 11.339 9741.14
Stacking Keystroke 0.976518 0.976518 0.976517 12.2203 4556.33
Streaming Random Patches ImageSegments 0.754676 0.754676 0.752727 10.4257 832.07
Streaming Random Patches Insects 0.739578 0.739578 0.737512 8.34194 26942.3
Streaming Random Patches Keystroke 0.953233 0.953233 0.953239 74.5521 5886.48
Voting ImageSegments 0.803393 0.803393 0.794975 0.951658 146.236
Voting Insects 0.647929 0.647929 0.635943 3.38862 3141.99
Voting Keystroke 0.793274 0.793274 0.798424 10.3088 2173.75
[baseline] Last Class ImageSegments 0.14789 0.14789 0.147887 0.00136757 2.67732
[baseline] Last Class Insects 0.289115 0.289115 0.289295 0.00138664 59.1503
[baseline] Last Class Keystroke 0.997549 0.997549 0.997549 0.00504208 24.227
k-Nearest Neighbors ImageSegments 0.819922 0.819922 0.815895 0.12676 38.8794
k-Nearest Neighbors Insects 0.686547 0.686547 0.683661 0.216656 1254.78
k-Nearest Neighbors Keystroke 0.984509 0.984509 0.984508 0.214242 515.415

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0.9975544312994103, "Memory in Mb": 0.0042839050292968, "Time in s": 12.048032999999998 }, { "step": 14688, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488527269012, "MicroF1": 0.9975488527269012, "MacroF1": 0.997554305543504, "Memory in Mb": 0.0043344497680664, "Time in s": 12.728291999999998 }, { "step": 15096, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548857237496, "MicroF1": 0.997548857237496, "MacroF1": 0.9975541154780816, "Memory in Mb": 0.0043849945068359, "Time in s": 13.427186999999998 }, { "step": 15504, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488615106752, "MicroF1": 0.9975488615106752, "MacroF1": 0.9975538715150368, "Memory in Mb": 0.0044355392456054, "Time in s": 14.144781999999998 }, { "step": 15912, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488655647036, "MicroF1": 0.9975488655647036, "MacroF1": 0.997553582477696, "Memory in Mb": 0.004486083984375, "Time in s": 14.881121999999998 }, { "step": 16320, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488694160182, "MicroF1": 0.9975488694160182, "MacroF1": 0.997553255861403, "Memory in Mb": 0.0045366287231445, "Time in s": 15.636483999999998 }, { "step": 16728, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488730794524, "MicroF1": 0.9975488730794524, "MacroF1": 0.997552898047314, "Memory in Mb": 0.004587173461914, "Time in s": 16.410486 }, { "step": 17136, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488765684272, "MicroF1": 0.9975488765684272, "MacroF1": 0.997552514478575, "Memory in Mb": 0.0046377182006835, "Time in s": 17.203509999999998 }, { "step": 17544, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488798951148, "MicroF1": 0.9975488798951148, "MacroF1": 0.997552109806108, "Memory in Mb": 0.0046882629394531, "Time in s": 18.015261 }, { "step": 17952, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.997548883070581, "MicroF1": 0.997548883070581, "MacroF1": 0.997551688009728, "Memory in Mb": 0.0047388076782226, "Time in s": 18.845896 }, { "step": 18360, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488861049076, "MicroF1": 0.9975488861049076, "MacroF1": 0.9975512524991372, "Memory in Mb": 0.0047893524169921, "Time in s": 19.695493 }, { "step": 18768, "track": "Multiclass classification", "model": "[baseline] Last Class", "dataset": "Keystroke", "Accuracy": 0.9975488890073, "MicroF1": 0.9975488890073, 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Datasets

ImageSegments

Image segments classification.

This dataset contains features that describe image segments into 7 classes: brickface, sky, foliage, cement, window, path, and grass.

Name  ImageSegments                                              
Task  Multi-class classification

Samples 2,310
Features 18
Sparse False
Path /home/kulbach/projects/river/river/datasets/segment.csv.zip

Insects

Insects dataset.

This dataset has different variants, which are:

  • abrupt_balanced
  • abrupt_imbalanced
  • gradual_balanced
  • gradual_imbalanced
  • incremental-abrupt_balanced
  • incremental-abrupt_imbalanced
  • incremental-reoccurring_balanced
  • incremental-reoccurring_imbalanced
  • incremental_balanced
  • incremental_imbalanced
  • out-of-control

The number of samples and the difficulty change from one variant to another. The number of classes is always the same (6), except for the last variant (24).

  Name  Insects                                                                                 
  Task  Multi-class classification

Samples 52,848
Features 33
Classes 6
Sparse False
Path /home/kulbach/river_data/Insects/INSECTS-abrupt_balanced_norm.arff
URL http://sites.labic.icmc.usp.br/vsouza/repository/creme/INSECTS-abrupt_balanced_norm.arff Size 15.66 MB
Downloaded True
Variant abrupt_balanced

Parameters

variant
    Indicates which variant of the dataset to load.

Keystroke

CMU keystroke dataset.

Users are tasked to type in a password. The task is to determine which user is typing in the password.

The only difference with the original dataset is that the "sessionIndex" and "rep" attributes have been dropped.

  Name  Keystroke                                                    
  Task  Multi-class classification

Samples 20,400
Features 31
Sparse False
Path /home/kulbach/river_data/Keystroke/DSL-StrongPasswordData.csv URL http://www.cs.cmu.edu/~keystroke/DSL-StrongPasswordData.csv
Size 4.45 MB
Downloaded True

Models

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       : 3.9.17
IPython version      : 8.15.0

river       : 0.19.0
numpy       : 1.25.2
scikit-learn: 1.3.0
pandas      : 2.1.0
scipy       : 1.11.2

Compiler    : GCC 11.3.0
OS          : Linux
Release     : 5.15.0-1041-azure
Machine     : x86_64
Processor   : x86_64
CPU cores   : 2
Architecture: 64bit