**Figure 1.** **Integrative machine learning analysis constructed a prognostic PI3K/Akt pathway related signature.** (**A**) Potential biomarker identified by univariate cox analysis. (**B**) The C-index of 101 kinds prognostic models constructed by 10 machine learning algorithms in training and testing cohort. (**C**) The determination of the optimal λ was obtained when the partial likelihood deviance reached the minimum value, and further generated Lasso coefficients of the most useful prognostic genes. (**D**) Coefficients of 19 genes finally obtained in survivalSVM regression. The survival curve of ovarian cancer with high and low risk score in TCGA (**E**), GSE14764 (**F**), GSE26193 (**G**), GSE26172 (**H**), GSE63885 (**I**) and GSE140082 (**J**) cohort. Cluster analysis of ovarian cancer cases with high and low risk score in TCGA (**K**), GSE14764 (**L**) GSE26193 (**M**), GSE26172 (**N**), GSE63885(**O**) and GSE140082 (**P**) cohort by using tSNE method.