(0, '0.006*"learning" + 0.005*"model" + 0.005*"data" + 0.004*"function" + 0.004*"set" + 0.004*"using" + 0.004*"number" + 0.004*"neural" + 0.004*"one" + 0.003*"error"') (1, '0.008*"learning" + 0.006*"data" + 0.005*"model" + 0.005*"set" + 0.004*"algorithm" + 0.004*"time" + 0.004*"one" + 0.004*"two" + 0.003*"used" + 0.003*"figure"') (2, '0.007*"data" + 0.005*"model" + 0.005*"set" + 0.005*"learning" + 0.004*"one" + 0.004*"algorithm" + 0.004*"time" + 0.003*"using" + 0.003*"figure" + 0.003*"training"') (3, '0.006*"data" + 0.005*"model" + 0.004*"learning" + 0.004*"two" + 0.004*"algorithm" + 0.004*"using" + 0.004*"function" + 0.004*"set" + 0.003*"number" + 0.003*"given"') (4, '0.006*"learning" + 0.005*"data" + 0.005*"model" + 0.005*"set" + 0.004*"algorithm" + 0.004*"time" + 0.004*"using" + 0.004*"two" + 0.004*"function" + 0.003*"one"') (5, '0.008*"learning" + 0.006*"data" + 0.005*"algorithm" + 0.004*"model" + 0.004*"two" + 0.004*"function" + 0.004*"number" + 0.003*"figure" + 0.003*"time" + 0.003*"set"') (6, '0.007*"learning" + 0.006*"model" + 0.005*"data" + 0.005*"algorithm" + 0.004*"function" + 0.004*"set" + 0.003*"time" + 0.003*"one" + 0.003*"based" + 0.003*"number"') (7, '0.007*"learning" + 0.005*"set" + 0.005*"data" + 0.005*"model" + 0.004*"algorithm" + 0.004*"function" + 0.004*"using" + 0.004*"number" + 0.004*"log" + 0.004*"figure"') (8, '0.005*"learning" + 0.005*"set" + 0.005*"algorithm" + 0.004*"model" + 0.004*"function" + 0.004*"data" + 0.004*"one" + 0.004*"time" + 0.003*"using" + 0.003*"given"') (9, '0.007*"data" + 0.006*"model" + 0.005*"learning" + 0.005*"algorithm" + 0.004*"two" + 0.003*"number" + 0.003*"time" + 0.003*"set" + 0.003*"function" + 0.003*"used"')