Run
57455

Run 57455

Task 1731 (Learning Curve) pendigits Uploaded 13-11-2014 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.BFTree(2)Haijian Shi (2007). Best-first decision tree learning. Hamilton, NZ. Jerome Friedman, Trevor Hastie, Robert Tibshirani (2000). Additive logistic regression : A statistical view of boosting. Annals of statistics. 28(2):337-407.
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
0.985 ± 0.0032
Per class
Build CPU time
0.4167
Build memory
1223523353.05
F measure
0.9581 ± 0.005
Per class
Kappa
0.9535 ± 0.0056
KB relative information score
0.9531 ± 0.0051
Mean absolute error
0.0105 ± 0.001
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9583 ± 0.0051
Per class
Predictive accuracy
0.9582 ± 0.005
Prior entropy
3.3208 ± 0.0002
Recall
0.9582 ± 0.005
Per class
Relative absolute error
0.0581 ± 0.0058
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0881 ± 0.0054
Root relative squared error
0.2936 ± 0.0179
SciMark benchmark
1488.5593