DEVELOPMENT... OpenML
Run
47376

Run 47376

Task 1748 (Learning Curve) tic-tac-toe Uploaded 05-11-2014 by Jason
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.Bagging_VotedPerceptron(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_VotedPerceptron(2)_I10
weka.Bagging_VotedPerceptron(2)_P100
weka.Bagging_VotedPerceptron(2)_S1
weka.Bagging_VotedPerceptron(2)_Wweka.classifiers.functions.VotedPerceptron
weka.Bagging_VotedPerceptron(2)_num-slots1
weka.VotedPerceptron(2)_E1.0
weka.VotedPerceptron(2)_I1
weka.VotedPerceptron(2)_M10000
weka.VotedPerceptron(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
0.9296 ± 0.0326
Per class
Build CPU time
0.0275
Build memory
1103015130.4889
F measure
0.8681 ± 0.044
Per class
Kappa
0.7024 ± 0.0993
KB relative information score
0.6655 ± 0.0735
Mean absolute error
0.1503 ± 0.0312
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8812 ± 0.0377
Per class
Predictive accuracy
0.8737 ± 0.0399
Prior entropy
0.931 ± 0.0039
Recall
0.8737 ± 0.0399
Per class
Relative absolute error
0.3317 ± 0.0686
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3181 ± 0.0467
Root relative squared error
0.6684 ± 0.0978
SciMark benchmark
1193.7396