DEVELOPMENT... OpenML
Run
162900

Run 162900

Task 3820 (Supervised Classification) braziltourism Uploaded 16-02-2015 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)_I20
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
0.6522
Per class
F measure
0.7111
Per class
Kappa
0.1098
KB relative information score
126.7364
Mean absolute error
0.2178
Mean prior absolute error
0.3529
Number of instances
412
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7722
Per class
Predictive accuracy
0.784
Prior entropy
0.7771
Recall
0.784
Per class
Relative absolute error
0.6172
Root mean prior squared error
0.4196
Root mean squared error
0.4476
Root relative squared error
1.0666
SciMark benchmark
934.5243
UserCPU time millis
10
UserCPU time millis training
10