Run
46792

Run 46792

Task 1710 (Learning Curve) balance-scale Uploaded 04-11-2014 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_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_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.

21 Evaluation measures

Area under ROC curve
0.8344 ± 0.0209
Per class
Build CPU time
0.0047
Build memory
106360634.3
F measure
0.7892 ± 0.0228
Per class
Kappa
0.6163 ± 0.047
KB relative information score
0.5562 ± 0.0471
Mean absolute error
0.1483 ± 0.0205
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
0.8014 ± 0.0259
Per class
Predictive accuracy
0.7776 ± 0.0307
Prior entropy
1.3181 ± 0.0124
Recall
0.7776 ± 0.0307
Per class
Relative absolute error
0.3904 ± 0.0537
Root mean prior squared error
0.4356 ± 0.0014
Root mean squared error
0.3851 ± 0.027
Root relative squared error
0.884 ± 0.0616
SciMark benchmark
1508.8083