DEVELOPMENT... OpenML
Run
164075

Run 164075

Task 3540 (Supervised Classification) analcatdata_boxing1 Uploaded 17-02-2015 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I80
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

22 Evaluation measures

Area under ROC curve
0.9121
Per class
F measure
0.7693
Per class
Kappa
0.4824
KB relative information score
64.1985
Mean absolute error
0.2034
Mean prior absolute error
0.4557
Number of instances
120
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8157
Per class
Predictive accuracy
0.7917
Prior entropy
0.9362
Recall
0.7917
Per class
Relative absolute error
0.4464
Root mean prior squared error
0.477
Root mean squared error
0.3983
Root relative squared error
0.8351
SciMark benchmark
943.2817
UserCPU time millis
10
UserCPU time millis training
10