DEVELOPMENT... OpenML
Run
166363

Run 166363

Task 59 (Supervised Classification) iris Uploaded 18-02-2015 by Felicia West
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Flow

weka.HoeffdingTree(3)Geoff Hulten, Laurie Spencer, Pedro Domingos: Mining time-changing data streams. In: ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, 97-106, 2001.
weka.HoeffdingTree(3)_L2
weka.HoeffdingTree(3)_S1
weka.HoeffdingTree(3)_E1.0E-7
weka.HoeffdingTree(3)_H0.05
weka.HoeffdingTree(3)_M0.01
weka.HoeffdingTree(3)_G200.0
weka.HoeffdingTree(3)_N0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.9944
Per class
F measure
0.96
Per class
Kappa
0.94
KB relative information score
139.5007
Mean absolute error
0.0365
Mean prior absolute error
0.4444
Number of instances
150
Per class
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.10.2]
Precision
0.96
Per class
Predictive accuracy
0.96
Prior entropy
1.585
Recall
0.96
Per class
Relative absolute error
0.0822
Root mean prior squared error
0.4714
Root mean squared error
0.1538
Root relative squared error
0.3262
SciMark benchmark
1289.6995
UserCPU time millis
2.36
UserCPU time millis testing
0.6
UserCPU time millis training
1.76