Run
54560

Run 54560

Task 1713 (Learning Curve) mfeat-fourier Uploaded 09-11-2014 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.AdaBoostM1_BFTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_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.

21 Evaluation measures

Area under ROC curve
0.9707 ± 0.0066
Per class
Build CPU time
3.1086
Build memory
2017179949.5273
F measure
0.8144 ± 0.0216
Per class
Kappa
0.7928 ± 0.023
KB relative information score
0.8184 ± 0.0231
Mean absolute error
0.038 ± 0.0041
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.8159 ± 0.0224
Per class
Predictive accuracy
0.8135 ± 0.0207
Prior entropy
3.3219
Recall
0.8135 ± 0.0207
Per class
Relative absolute error
0.2111 ± 0.0229
Root mean prior squared error
0.3
Root mean squared error
0.1782 ± 0.0117
Root relative squared error
0.5941 ± 0.0388
SciMark benchmark
1853.1129