Run
417149

Run 417149

Task 1767 (Supervised Classification) kr-vs-kp 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)_I20
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
0.9463
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9047
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.8092
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
12503.3064
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.1125
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.499
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
15980
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9096
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9053
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
0.9986
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9053
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.2255
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4995
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2909
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.5824
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
935.6052
UserCPU time millis
90
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
90
Cross-validation details (5 times 2-fold Crossvalidation)