Run
581228

Run 581228

Task 43 (Supervised Classification) spambase Uploaded 06-06-2016 by Jan van Rijn
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Flow

weka.MultiBoostAB_RandomTree(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(11)_K0
weka.RandomTree(11)_M1.0
weka.RandomTree(11)_V0.001
weka.RandomTree(11)_S1
weka.MultiBoostAB_RandomTree(3)_C3
weka.MultiBoostAB_RandomTree(3)_P100
weka.MultiBoostAB_RandomTree(3)_S1
weka.MultiBoostAB_RandomTree(3)_I10
weka.MultiBoostAB_RandomTree(3)_Wweka.classifiers.trees.RandomTree

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
0.9627
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9484
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8917
Cross-validation details (10-fold Crossvalidation)
KB relative information score
4095.5823
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0514
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4776
Cross-validation details (10-fold Crossvalidation)
Number of instances
4601
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
0.9484
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9485
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9485
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2227
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4557
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1273.4275
UserCPU time millis
510
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
490
Cross-validation details (10-fold Crossvalidation)