In order to analysis the sequence data generated by online experimental system, the first-order Markov chain is introduced. It artificially classifies the experimental data into the learning initiative and fraud, and constructs two Markov chain models. It determines by the larger possibility from which model the test data comes. At the end, it discusses the steady state distribution. Experimental results show that the model based on Markov chain has higher classification accuracy.