Run
365356

Run 365356

Task 4389 (Supervised Classification) delta_elevators Uploaded 29-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
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
0.8189
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.817
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6353
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
51658.7033
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.241
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
95170
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8226
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8178
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8178
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.482
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.392
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7839
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1317.2327
UserCPU time millis
60
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10 times 10-fold Crossvalidation)