DEVELOPMENT... OpenML
Run
135025

Run 135025

Task 3707 (Supervised Classification) analcatdata_runshoes Uploaded 28-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I20
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.7251
Per class
Build CPU time
0.0028
Build memory
2474330657.6
F measure
0.7176
Per class
Kappa
0.4138
KB relative information score
22.7577
Mean absolute error
0.2923
Mean prior absolute error
0.4806
Number of instances
60
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7189
Per class
Predictive accuracy
0.7167
Prior entropy
0.9728
Recall
0.7167
Per class
Relative absolute error
0.6081
Root mean prior squared error
0.4899
Root mean squared error
0.5232
Root relative squared error
1.0679
SciMark benchmark
946.9091