DEVELOPMENT... OpenML
Run
157691

Run 157691

Task 1713 (Learning Curve) mfeat-fourier Uploaded 12-02-2015 by Jason
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  • study_2 study_37 weka weka_3.7.12
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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
0.9549 ± 0.0076
Per class
F measure
0.7622 ± 0.0163
Per class
Kappa
0.735 ± 0.0205
KB relative information score
0.7733 ± 0.0162
Mean absolute error
0.0483 ± 0.0031
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7685 ± 0.0137
Per class
Predictive accuracy
0.7615 ± 0.0184
Prior entropy
3.3219
Recall
0.7615 ± 0.0184
Per class
Relative absolute error
0.2685 ± 0.017
Root mean prior squared error
0.3
Root mean squared error
0.1991 ± 0.0075
Root relative squared error
0.6636 ± 0.025
SciMark benchmark
642.8724
UserCPU time millis
2720
UserCPU time millis testing
730
UserCPU time millis training
1990