Multiclass classification

TableChart

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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"Keystroke", "Accuracy": 0.9975488994558556, "MicroF1": 0.9975488994558556, "MacroF1": 0.9975489582566448, "Memory in Mb": 0.0050420761108398, "Time in s": 24.227046 } ] }, "params": [ { "name": "models", "select": { "type": "point", "fields": [ "model" ] }, "bind": "legend" }, { "name": "Dataset", "value": "ImageSegments", "bind": { "input": "select", "options": [ "ImageSegments", "Insects", "Keystroke" ] } }, { "name": "grid", "select": "interval", "bind": "scales" } ], "transform": [ { "filter": { "field": "dataset", "equal": { "expr": "Dataset" } } } ], "repeat": { "row": [ "Accuracy", "MicroF1", "MacroF1", "Memory in Mb", "Time in s" ] }, "spec": { "width": "container", "mark": "line", "encoding": { "x": { "field": "step", "type": "quantitative", "axis": { "titleFontSize": 18, "labelFontSize": 18, "title": "Instance" } }, "y": { "field": { "repeat": "row" }, "type": "quantitative", "axis": { "titleFontSize": 18, "labelFontSize": 18 } }, "color": { "field": "model", "type": "ordinal", "scale": { "scheme": "category20b" }, "title": "Models", "legend": { "titleFontSize": 18, "labelFontSize": 18, "labelLimit": 500 } }, "opacity": { "condition": { "param": "models", "value": 1 }, "value": 0.2 } } } }

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      : 8.14.0

river       : 0.18.0
numpy       : 1.25.0
scikit-learn: 1.2.2
pandas      : 2.0.2
scipy       : 1.11.0

Compiler    : GCC 11.3.0
OS          : Linux
Release     : 5.15.0-1040-azure
Machine     : x86_64
Processor   : x86_64
CPU cores   : 2
Architecture: 64bit