Run
418530

Run 418530

Task 2111 (Supervised Classification) primary-tumor Uploaded 07-05-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I40
weka.MultiBoostAB_DecisionStump(3)_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
0.7258
Per class
Cross-validation details (33% Holdout set)
F measure
0.2227
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2127
Cross-validation details (33% Holdout set)
KB relative information score
18.4455
Cross-validation details (33% Holdout set)
Mean absolute error
0.0734
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.0811
Cross-validation details (33% Holdout set)
Number of instances
111
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.1735
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.3514
Cross-validation details (33% Holdout set)
Prior entropy
3.7542
Cross-validation details (33% Holdout set)
Recall
0.3514
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.9044
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.2009
Cross-validation details (33% Holdout set)
Root mean squared error
0.1903
Cross-validation details (33% Holdout set)
Root relative squared error
0.947
Cross-validation details (33% Holdout set)
SciMark benchmark
935.6052
UserCPU time millis
10
UserCPU time millis training
10