Run
61450

Run 61450

Task 1710 (Learning Curve) balance-scale 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
0.9561 ± 0.0161
Per class
Build CPU time
0.0686
Build memory
2195243136.1
F measure
0.823 ± 0.0269
Per class
Kappa
0.6944 ± 0.0715
KB relative information score
0.6315 ± 0.0659
Mean absolute error
0.1172 ± 0.0279
Mean prior absolute error
0.3798 ± 0.0012
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8189 ± 0.0212
Per class
Predictive accuracy
0.8272 ± 0.0438
Prior entropy
1.3181 ± 0.0124
Recall
0.8272 ± 0.0438
Per class
Relative absolute error
0.3086 ± 0.0735
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3192 ± 0.044
Root relative squared error
0.7329 ± 0.1013
SciMark benchmark
1645.3141