Run
574385

Run 574385

Task 43 (Supervised Classification) spambase Uploaded 31-05-2016 by Jan van Rijn
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Flow

weka.ADTree(7)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(7)_B10
weka.ADTree(7)_E-3
weka.ADTree(7)_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
0.969
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9206
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8333
Cross-validation details (10-fold Crossvalidation)
KB relative information score
2995.8082
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1853
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
0.9207
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9209
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9674
Cross-validation details (10-fold Crossvalidation)
Recall
0.9209
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.388
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4886
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2637
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.5396
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1657.4317
UserCPU time millis
1090
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1080
Cross-validation details (10-fold Crossvalidation)