线性回归模型的可决系数可以表示为
未知类型:{'options': ['[tex=4.714x2.071]UA4w4fbt4Vu6g0hBNTu5bDFt9GhZPDClEybGLjE2New=[/tex]', '[tex=4.714x2.071]UA4w4fbt4Vu6g0hBNTu5bPQryIJCfxU/GRkvCJbQsIU=[/tex]', '[tex=6.357x2.071]psasRKEtEbyYZ5NA8FT1Jr26F3YkllimYISQkhEqx6rzM72i+sMIuWHMqLxUQPoF[/tex]', '[tex=6.429x2.071]psasRKEtEbyYZ5NA8FT1JkWrlm735czbznjIdkki5aVgY78BPYU0VQlIHgumYTZJ[/tex]', '[tex=7.929x2.071]UA4w4fbt4Vu6g0hBNTu5bBcUZnhZKu9sqZVOIPUpxY1wf46qv3b6q/frgfsDG/kj[/tex]'], 'type': 102}
未知类型:{'options': ['[tex=4.714x2.071]UA4w4fbt4Vu6g0hBNTu5bDFt9GhZPDClEybGLjE2New=[/tex]', '[tex=4.714x2.071]UA4w4fbt4Vu6g0hBNTu5bPQryIJCfxU/GRkvCJbQsIU=[/tex]', '[tex=6.357x2.071]psasRKEtEbyYZ5NA8FT1Jr26F3YkllimYISQkhEqx6rzM72i+sMIuWHMqLxUQPoF[/tex]', '[tex=6.429x2.071]psasRKEtEbyYZ5NA8FT1JkWrlm735czbznjIdkki5aVgY78BPYU0VQlIHgumYTZJ[/tex]', '[tex=7.929x2.071]UA4w4fbt4Vu6g0hBNTu5bBcUZnhZKu9sqZVOIPUpxY1wf46qv3b6q/frgfsDG/kj[/tex]'], 'type': 102}
举一反三
- set1 = {x for x in range(10)} print(set1) 以上代码的运行结果为? A: {0, 1, 2, 3, 4, 5, 6, 7, 8, 9} B: {0, 1, 2, 3, 4, 5, 6, 7, 8, 9,10} C: {1, 2, 3, 4, 5, 6, 7, 8, 9} D: {1, 2, 3, 4, 5, 6, 7, 8, 9,10}
- >>>x= [10, 6, 0, 1, 7, 4, 3, 2, 8, 5, 9]>>>print(x.sort()) 语句运行结果正确的是( )。 A: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] B: [10, 6, 0, 1, 7, 4, 3, 2, 8, 5, 9] C: [10, 9, 8, 7, 6, 5, 4, 3, 2, 1, 0] D: ['2', '4', '0', '6', '10', '7', '8', '3', '9', '1', '5']
- 执行以下语句后a的值为( ),b的值为( ) int a=5,b=6,w=1,x=2,y=3,z=4; (a=w>x)&&(b=y>z); A: 5 B: 0 C: 2 D: 1 E: 6 F: 0 G: 1 H: 4
- 【计算题】5 ×8= 6×4= 7×7= 9×5= 2×3= 9 ×2= 8×9= 7×8= 5×5= 4×3= 5+8= 6 ×6= 3×7= 4×8= 9×3= 1 ×2= 9×9= 6×8= 8×0= 4×7=
- “[ 2*x+2 for x in range(5) ]”生成的列表是( )。 A: [2, 4, 6, 8, 10] B: [0, 2, 4, 6, 8] C: [1, 2, 3, 4, 5] D: [0, 1, 2, 3, 4]