Run
415997

Run 415997

Task 1937 (Supervised Classification) ionosphere Uploaded 07-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I10
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.9207
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8354
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.6349
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
2351.4586
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1469
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
3510
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
0.8591
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8447
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8447
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.319
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3415
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.7119
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.9549
UserCPU time millis
30
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
30
Cross-validation details (10 times 10-fold Crossvalidation)