📄 weighted.output.tree

📁 Boosting算法软件包
💻 TREE
字号:
0	[R] prediction = BinaryPrediction. p(1)= -0.32827062687854351	[R.0] Splitter = InequalitySplitter. H < 113.01	[R.0:0] prediction = BinaryPrediction. p(1)= 1.76069873542852261	[R.0:1] prediction = BinaryPrediction. p(1)= -0.96053718538835024	[R.0:1.0] Splitter = InequalitySplitter. OBP < 0.34254	[R.0:1.0:0] prediction = BinaryPrediction. p(1)= 0.289538318468891168	[R.0:1.0:0.0] Splitter = InequalitySplitter. 3B < 5.08	[R.0:1.0:0.0:0] prediction = BinaryPrediction. p(1)= 1.20191445470346138	[R.0:1.0:0.0:1] prediction = BinaryPrediction. p(1)= -0.99193394533952764	[R.0:1.0:1] prediction = BinaryPrediction. p(1)= -1.629020497815612612	[R.0:1.0:1.0] Splitter = InequalitySplitter. HR < 30.012	[R.0:1.0:1.0:0] prediction = BinaryPrediction. p(1)= -3.535743109364605512	[R.0:1.0:1.0:1] prediction = BinaryPrediction. p(1)= -3.588621424681972	[R.1] Splitter = InequalitySplitter. SB < 18.52	[R.1:0] prediction = BinaryPrediction. p(1)= 0.53834357763216165	[R.1:0.0] Splitter = InequalitySplitter. BB < 51.05	[R.1:0.0:0] prediction = BinaryPrediction. p(1)= 1.45274381172292745	[R.1:0.0:1] prediction = BinaryPrediction. p(1)= -0.62393454441215739	[R.1:0.0:1.0] Splitter = InequalitySplitter. H < 113.09	[R.1:0.0:1.0:0] prediction = BinaryPrediction. p(1)= 0.333924672810186459	[R.1:0.0:1.0:1] prediction = BinaryPrediction. p(1)= -0.58349919902728466	[R.1:0.1] Splitter = InequalitySplitter. SLG < 0.4886	[R.1:0.1:0] prediction = BinaryPrediction. p(1)= 0.3830904539063998410	[R.1:0.1:0.0] Splitter = InequalitySplitter. SLG < 0.408510	[R.1:0.1:0.0:0] prediction = BinaryPrediction. p(1)= -0.269981458805946610	[R.1:0.1:0.0:1] prediction = BinaryPrediction. p(1)= 1.588093698320785411	[R.1:0.1:0.0:1.0] Splitter = InequalitySplitter. AVG < 0.276511	[R.1:0.1:0.0:1.0:0] prediction = BinaryPrediction. p(1)= 5.22753708566409311	[R.1:0.1:0.0:1.0:1] prediction = BinaryPrediction. p(1)= 5.5421625477660746	[R.1:0.1:1] prediction = BinaryPrediction. p(1)= -0.16314035051057882	[R.1:1] prediction = BinaryPrediction. p(1)= -0.75146283717717983	[R.2] Splitter = InequalitySplitter. AVG < 0.26953	[R.2:0] prediction = BinaryPrediction. p(1)= 0.36190515050039473	[R.2:1] prediction = BinaryPrediction. p(1)= -0.333730217140140567	[R.2:1.0] Splitter = InequalitySplitter. AB < 475.57	[R.2:1.0:0] prediction = BinaryPrediction. p(1)= 0.269983538333118677	[R.2:1.0:1] prediction = BinaryPrediction. p(1)= -1.541428339392110713	[R.2:1.0:1.0] Splitter = InequalitySplitter. HR < 30.013	[R.2:1.0:1.0:0] prediction = BinaryPrediction. p(1)= -3.166388288543538413	[R.2:1.0:1.0:1] prediction = BinaryPrediction. p(1)= -3.190408090003902714	[R.2:1.0:1.1] Splitter = InequalitySplitter. BB < 73.514	[R.2:1.0:1.1:0] prediction = BinaryPrediction. p(1)= -0.4980448821550696514	[R.2:1.0:1.1:1] prediction = BinaryPrediction. p(1)= -0.501249593274726715	[R.2:1.1] Splitter = InequalitySplitter. AVG < 0.274515	[R.2:1.1:0] prediction = BinaryPrediction. p(1)= -0.2880168067950270616	[R.2:1.1:0.0] Splitter = InequalitySplitter. 2B < 26.016	[R.2:1.1:0.0:0] prediction = BinaryPrediction. p(1)= -0.64578172007416116	[R.2:1.1:0.0:1] prediction = BinaryPrediction. p(1)= -0.876651921004489715	[R.2:1.1:1] prediction = BinaryPrediction. p(1)= -0.25525850246219095
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