Run
581072

Run 581072

Task 2068 (Supervised Classification) solar-flare Uploaded 06-06-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_IBk(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.IBk(7)_K1
weka.IBk(7)_W0
weka.IBk(7)_Atrue
weka.MultiBoostAB_IBk(3)_C3
weka.MultiBoostAB_IBk(3)_P100
weka.MultiBoostAB_IBk(3)_S1
weka.MultiBoostAB_IBk(3)_I10
weka.MultiBoostAB_IBk(3)_Wweka.classifiers.lazy.IBk

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
0.6338
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9911
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-386.0237
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0058
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0075
Cross-validation details (10-fold Crossvalidation)
Number of instances
1066
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
Precision
0.9906
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9916
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.0626
Cross-validation details (10-fold Crossvalidation)
Recall
0.9916
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.7818
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.0558
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0746
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.3358
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1298.2486
UserCPU time millis
1650
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
570
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1080
Cross-validation details (10-fold Crossvalidation)