Run
61526

Run 61526

Task 1742 (Learning Curve) spambase Uploaded 16-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_BFTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_C3
weka.MultiBoostAB_BFTree(2)_P100
weka.MultiBoostAB_BFTree(2)_S1
weka.MultiBoostAB_BFTree(2)_I10
weka.MultiBoostAB_BFTree(2)_Wweka.classifiers.trees.BFTree

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.

21 Evaluation measures

Area under ROC curve
0.9752 ± 0.0083
Per class
Build CPU time
2.6786
Build memory
2769274190.6286
F measure
0.9487 ± 0.0126
Per class
Kappa
0.8924 ± 0.0266
KB relative information score
0.8879 ± 0.0245
Mean absolute error
0.0526 ± 0.0114
Mean prior absolute error
0.4776 ± 0.0002
Number of instances
4601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9486 ± 0.0126
Per class
Predictive accuracy
0.9487 ± 0.0125
Prior entropy
0.9674 ± 0.0006
Recall
0.9487 ± 0.0125
Per class
Relative absolute error
0.11 ± 0.0239
Root mean prior squared error
0.4886 ± 0.0002
Root mean squared error
0.2172 ± 0.0267
Root relative squared error
0.4444 ± 0.0547
SciMark benchmark
1645.3141