Run
548948

Run 548948

Task 3864 (Supervised Classification) sponge Uploaded 05-04-2016 by Martijn Post
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • study_15 study_20 weka weka_3.7.13
Issue #Downvotes for this reason By


Flow

weka.HoeffdingTree(4)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(4)_L2
weka.HoeffdingTree(4)_S1
weka.HoeffdingTree(4)_E1.0E-7
weka.HoeffdingTree(4)_H0.05
weka.HoeffdingTree(4)_M0.01
weka.HoeffdingTree(4)_G200.0
weka.HoeffdingTree(4)_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
0.7179
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8935
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.179
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1.1325
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1185
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1545
Cross-validation details (10-fold Crossvalidation)
Number of instances
76
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_66, amd64, Windows 10, 10.0]
Precision
0.8843
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9079
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.4356
Cross-validation details (10-fold Crossvalidation)
Recall
0.9079
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7668
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2699
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2845
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0542
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1860.4354