Run
52952

Run 52952

Task 1748 (Learning Curve) tic-tac-toe Uploaded 07-11-2014 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
0.9567 ± 0.0217
Per class
Build CPU time
0.0287
Build memory
743461576.2667
F measure
0.9238 ± 0.0304
Per class
Kappa
0.8319 ± 0.0671
KB relative information score
0.8129 ± 0.0596
Mean absolute error
0.0825 ± 0.0246
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9239 ± 0.0297
Per class
Predictive accuracy
0.9238 ± 0.0304
Prior entropy
0.931 ± 0.0039
Recall
0.9238 ± 0.0304
Per class
Relative absolute error
0.1821 ± 0.0543
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.2494 ± 0.0577
Root relative squared error
0.5242 ± 0.1211
SciMark benchmark
1862.469