Run
200521

Run 200521

Task 4444 (Supervised Classification) analcatdata_chlamydia Uploaded 27-02-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.Winnow(3)N. Littlestone (1988). Learning quickly when irrelevant attributes are abound: A new linear threshold algorithm. Machine Learning. 2:285-318. N. Littlestone (1989). Mistake bounds and logarithmic linear-threshold learning algorithms. University of California, Santa Cruz.
weka.Winnow(3)_I1
weka.Winnow(3)_A2.0
weka.Winnow(3)_B0.5
weka.Winnow(3)_H-1.0
weka.Winnow(3)_W2.0
weka.Winnow(3)_S1

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
0.6495
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.7539
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.2607
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
8.3754
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.261
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.3116
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.776
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.739
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.714
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.739
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8377
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3923
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.5109
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.3021
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
940.3347
UserCPU time millis
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
Cross-validation details (10 times 10-fold Crossvalidation)