Run
46815

Run 46815

Task 1735 (Learning Curve) segment 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
0.9765 ± 0.0107
Per class
Build CPU time
0.0047
Build memory
1609784859.2667
F measure
0.9598 ± 0.0182
Per class
Kappa
0.953 ± 0.0213
KB relative information score
0.9566 ± 0.0197
Mean absolute error
0.0115 ± 0.0052
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9599 ± 0.0173
Per class
Predictive accuracy
0.9597 ± 0.0183
Prior entropy
2.8074
Recall
0.9597 ± 0.0183
Per class
Relative absolute error
0.047 ± 0.0213
Root mean prior squared error
0.3499
Root mean squared error
0.1073 ± 0.022
Root relative squared error
0.3065 ± 0.063
SciMark benchmark
1591.1066