Research Article
Prediction of Cancer Proteins by Integrating Protein Interaction, Domain Frequency, and Domain Interaction Data Using Machine Learning Algorithms
Table 7
Performance evaluation for OMIM and HLungDB datasets.
| Type | Algorithm | Hit number | Hit ratio |
| Rules | Ridor | 1164 | 0.894 | Rules | ZeroR | 1159 | 0.890 | Trees | ADTree | 1119 | 0.859 | Misc | HyperPipes | 1115 | 0.856 | Functions | MultilayerPerceptron | 1076 | 0.826 | Trees | LADTree | 1061 | 0.815 | Rules | OneR | 1047 | 0.804 | Lazy | IB1 | 1023 | 0.786 | Lazy | IBk | 1023 | 0.786 | Bayes | BayesNet | 1020 | 0.783 | Rules | PART | 1019 | 0.783 | Trees | J48graft | 1018 | 0.782 | Trees | J48 | 1017 | 0.781 | Rules | DecisionTable | 1011 | 0.776 | Trees | FT | 1004 | 0.771 | Lazy | KStar | 999 | 0.767 | Bayes | BayesianLogisticRegression | 998 | 0.767 | Trees | NBTree | 995 | 0.764 | Rules | DTNB | 991 | 0.761 | Trees | RandomTree | 988 | 0.759 | Trees | LMT | 983 | 0.755 | Trees | REPTree | 975 | 0.749 | Trees | SimpleCart | 973 | 0.747 | Trees | RandomForest | 973 | 0.747 | Rules | JRip | 966 | 0.742 | Functions | Logistic | 964 | 0.740 | Functions | SimpleLogistic | 964 | 0.740 | Functions | SMO | 944 | 0.725 | Functions | RBFNetwork | 925 | 0.710 | Functions | VotedPerceptron | 844 | 0.648 | Bayes | NaiveBayesSimple | 827 | 0.635 | Bayes | NaiveBayes | 826 | 0.634 | Bayes | NaiveBayesUpdateable | 826 | 0.634 | Bayes | NaiveBayesMultinomial | 796 | 0.611 | Rules | NNge | 94 | 0.072 |
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