DEVELOPMENT... OpenML
Run
157687

Run 157687

Task 1702 (Learning Curve) kr-vs-kp Uploaded 12-02-2015 by Jason
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_2 study_37 weka weka_3.7.12
Issue #Downvotes for this reason By


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
0.9808 ± 0.0049
Per class
F measure
0.933 ± 0.0087
Per class
Kappa
0.8657 ± 0.0174
KB relative information score
0.7793 ± 0.0167
Mean absolute error
0.1201 ± 0.0084
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9331 ± 0.0086
Per class
Predictive accuracy
0.933 ± 0.0087
Prior entropy
0.9986 ± 0.0002
Recall
0.933 ± 0.0087
Per class
Relative absolute error
0.2407 ± 0.0167
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.2307 ± 0.0121
Root relative squared error
0.4619 ± 0.0242
SciMark benchmark
646.4525
UserCPU time millis
80
UserCPU time millis testing
10
UserCPU time millis training
70