Model.lift_chart¶

In [ ]:

Model.lift_chart(pos_label=None,
                 ax=None,
                 nbins: int = 30, 
                 **style_kwds,)

Draws the model's lift chart.

Parameters¶

Name	Type	Optional	Description
pos_label	int / float / str	✓	To draw a lift chart, one of the response column class has to be the positive one. The parameter 'pos_label' represents this class.
ax	Matplotlib axes object	✓	The axes to plot on.
nbins	int	✓	Curve number of bins.
**style_kwds	any	✓	Any optional parameter to pass to the Matplotlib functions.

Returns¶

tablesample : An object containing the result. For more information, see utilities.tablesample.

Example¶

In [28]:

# Multiclass Classification
from verticapy.learn.ensemble import RandomForestClassifier
model = RandomForestClassifier(name = "public.RF_iris",
                               n_estimators = 20,
                               max_features = "auto",
                               max_leaf_nodes = 32, 
                               sample = 0.7,
                               max_depth = 3,
                               min_samples_leaf = 5,
                               min_info_gain = 0.0,
                               nbins = 32)
model.drop()
model.fit("public.iris", ["PetalLengthCm", "PetalWidthCm"], "Species")
# Lift Chart
model.lift_chart(pos_label = "Iris-virginica")

Out[28]:

	decision_boundary	positive_prediction_ratio	lift
1	0.0	0.0	3.0
2	0.001	0.0	3.0
3	0.002	0.0	3.0
4	0.003	0.0	3.0
5	0.004	0.0	3.0
6	0.005	0.0	3.0
7	0.006	0.0	3.0
8	0.007	0.0	3.0
9	0.008	0.0	3.0
10	0.009	0.48	3.0
11	0.01	0.48	3.0
12	0.011	0.48	3.0
13	0.012	0.48	3.0
14	0.013	0.48	3.0
15	0.014	0.48	3.0
16	0.015	0.6	3.0
17	0.016	0.6	3.0
18	0.017	0.6	3.0
19	0.018	0.6	3.0
20	0.019	0.74	3.0
21	0.02	0.74	3.0
22	0.021	0.74	3.0
23	0.022	0.74	3.0
24	0.023	0.74	3.0
25	0.024	0.74	3.0
26	0.025	0.76	3.0
27	0.026	0.76	3.0
28	0.027	0.76	3.0
29	0.028	0.76	3.0
30	0.029	0.76	3.0
31	0.03	0.76	3.0
32	0.031	0.76	3.0
33	0.032	0.76	3.0
34	0.033	0.76	3.0
35	0.034	0.76	3.0
36	0.035	0.76	3.0
37	0.036	0.76	3.0
38	0.037	0.76	3.0
39	0.038	0.76	3.0
40	0.039	0.76	3.0
41	0.04	0.76	3.0
42	0.041	0.76	3.0
43	0.042	0.76	3.0
44	0.043	0.76	3.0
45	0.044	0.76	3.0
46	0.045	0.76	3.0
47	0.046	0.76	3.0
48	0.047	0.76	3.0
49	0.048	0.76	3.0
50	0.049	0.76	3.0
51	0.05	0.76	3.0
52	0.051	0.76	3.0
53	0.052	0.76	3.0
54	0.053	0.76	3.0
55	0.054	0.76	3.0
56	0.055	0.76	3.0
57	0.056	0.76	3.0
58	0.057	0.76	3.0
59	0.058	0.76	3.0
60	0.059	0.76	3.0
61	0.06	0.76	3.0
62	0.061	0.76	3.0
63	0.062	0.76	3.0
64	0.063	0.76	3.0
65	0.064	0.76	3.0
66	0.065	0.76	3.0
67	0.066	0.76	3.0
68	0.067	0.76	3.0
69	0.068	0.76	3.0
70	0.069	0.76	3.0
71	0.07	0.76	3.0
72	0.071	0.76	3.0
73	0.072	0.76	3.0
74	0.073	0.76	3.0
75	0.074	0.76	3.0
76	0.075	0.76	3.0
77	0.076	0.76	3.0
78	0.077	0.76	3.0
79	0.078	0.76	3.0
80	0.079	0.76	3.0
81	0.08	0.76	3.0
82	0.081	0.76	3.0
83	0.082	0.76	3.0
84	0.083	0.76	3.0
85	0.084	0.76	3.0
86	0.085	0.76	3.0
87	0.086	0.76	3.0
88	0.087	0.76	3.0
89	0.088	0.76	3.0
90	0.089	0.76	3.0
91	0.09	0.76	3.0
92	0.091	0.76	3.0
93	0.092	0.76	3.0
94	0.093	0.76	3.0
95	0.094	0.76	3.0
96	0.095	0.76	3.0
97	0.096	0.76	3.0
98	0.097	0.76	3.0
99	0.098	0.76	3.0
100	0.099	0.76	3.0
101	0.1	0.76	3.0
102	0.101	0.76	3.0
103	0.102	0.76	3.0
104	0.103	0.76	3.0
105	0.104	0.76	3.0
106	0.105	0.76	3.0
107	0.106	0.76	3.0
108	0.107	0.76	3.0
109	0.108	0.76	3.0
110	0.109	0.76	3.0
111	0.11	0.76	3.0
112	0.111	0.76	3.0
113	0.112	0.76	3.0
114	0.113	0.76	3.0
115	0.114	0.76	3.0
116	0.115	0.76	3.0
117	0.116	0.76	3.0
118	0.117	0.76	3.0
119	0.118	0.82	3.0
120	0.119	0.82	3.0
121	0.12	0.82	3.0
122	0.121	0.82	3.0
123	0.122	0.82	3.0
124	0.123	0.82	3.0
125	0.124	0.86	3.0
126	0.125	0.86	3.0
127	0.126	0.86	3.0
128	0.127	0.86	3.0
129	0.128	0.86	3.0
130	0.129	0.86	3.0
131	0.13	0.86	3.0
132	0.131	0.86	3.0
133	0.132	0.86	3.0
134	0.133	0.86	3.0
135	0.134	0.86	3.0
136	0.135	0.86	3.0
137	0.136	0.86	3.0
138	0.137	0.86	3.0
139	0.138	0.86	3.0
140	0.139	0.86	3.0
141	0.14	0.86	3.0
142	0.141	0.86	3.0
143	0.142	0.86	3.0
144	0.143	0.86	3.0
145	0.144	0.86	3.0
146	0.145	0.86	3.0
147	0.146	0.86	3.0
148	0.147	0.86	3.0
149	0.148	0.86	3.0
150	0.149	0.86	3.0
151	0.15	0.86	3.0
152	0.151	0.86	3.0
153	0.152	0.86	3.0
154	0.153	0.86	3.0
155	0.154	0.86	3.0
156	0.155	0.86	3.0
157	0.156	0.86	3.0
158	0.157	0.86	3.0
159	0.158	0.86	3.0
160	0.159	0.86	3.0
161	0.16	0.86	3.0
162	0.161	0.86	3.0
163	0.162	0.86	3.0
164	0.163	0.86	3.0
165	0.164	0.86	3.0
166	0.165	0.86	3.0
167	0.166	0.86	3.0
168	0.167	0.86	3.0
169	0.168	0.86	3.0
170	0.169	0.86	3.0
171	0.17	0.86	3.0
172	0.171	0.86	3.0
173	0.172	0.86	3.0
174	0.173	0.86	3.0
175	0.174	0.86	3.0
176	0.175	0.86	3.0
177	0.176	0.86	3.0
178	0.177	0.86	3.0
179	0.178	0.86	3.0
180	0.179	0.86	3.0
181	0.18	0.86	3.0
182	0.181	0.86	3.0
183	0.182	0.86	3.0
184	0.183	0.86	3.0
185	0.184	0.86	3.0
186	0.185	0.86	3.0
187	0.186	0.86	3.0
188	0.187	0.86	3.0
189	0.188	0.86	3.0
190	0.189	0.86	3.0
191	0.19	0.86	3.0
192	0.191	0.86	3.0
193	0.192	0.86	3.0
194	0.193	0.86	3.0
195	0.194	0.86	3.0
196	0.195	0.86	3.0
197	0.196	0.86	3.0
198	0.197	0.86	3.0
199	0.198	0.86	3.0
200	0.199	0.86	3.0
201	0.2	0.86	3.0
202	0.201	0.86	3.0
203	0.202	0.86	3.0
204	0.203	0.86	3.0
205	0.204	0.86	3.0
206	0.205	0.86	3.0
207	0.206	0.86	3.0
208	0.207	0.86	3.0
209	0.208	0.86	3.0
210	0.209	0.86	3.0
211	0.21	0.86	3.0
212	0.211	0.86	3.0
213	0.212	0.86	3.0
214	0.213	0.86	3.0
215	0.214	0.86	3.0
216	0.215	0.86	3.0
217	0.216	0.86	3.0
218	0.217	0.86	3.0
219	0.218	0.86	3.0
220	0.219	0.86	3.0
221	0.22	0.86	3.0
222	0.221	0.86	3.0
223	0.222	0.86	3.0
224	0.223	0.86	3.0
225	0.224	0.86	3.0
226	0.225	0.86	3.0
227	0.226	0.86	3.0
228	0.227	0.86	3.0
229	0.228	0.86	3.0
230	0.229	0.86	3.0
231	0.23	0.86	3.0
232	0.231	0.86	3.0
233	0.232	0.86	3.0
234	0.233	0.86	3.0
235	0.234	0.86	3.0
236	0.235	0.86	3.0
237	0.236	0.86	3.0
238	0.237	0.86	3.0
239	0.238	0.86	3.0
240	0.239	0.86	3.0
241	0.24	0.86	3.0
242	0.241	0.86	3.0
243	0.242	0.86	3.0
244	0.243	0.86	3.0
245	0.244	0.86	3.0
246	0.245	0.86	3.0
247	0.246	0.86	3.0
248	0.247	0.86	3.0
249	0.248	0.86	3.0
250	0.249	0.86	3.0
251	0.25	0.86	3.0
252	0.251	0.86	3.0
253	0.252	0.86	3.0
254	0.253	0.86	3.0
255	0.254	0.86	3.0
256	0.255	0.86	3.0
257	0.256	0.86	3.0
258	0.257	0.86	3.0
259	0.258	0.86	3.0
260	0.259	0.86	3.0
261	0.26	0.86	3.0
262	0.261	0.86	3.0
263	0.262	0.86	3.0
264	0.263	0.86	3.0
265	0.264	0.86	3.0
266	0.265	0.86	3.0
267	0.266	0.86	3.0
268	0.267	0.86	3.0
269	0.268	0.86	3.0
270	0.269	0.86	3.0
271	0.27	0.86	3.0
272	0.271	0.86	3.0
273	0.272	0.86	3.0
274	0.273	0.86	3.0
275	0.274	0.86	3.0
276	0.275	0.86	3.0
277	0.276	0.86	3.0
278	0.277	0.86	3.0
279	0.278	0.86	3.0
280	0.279	0.86	3.0
281	0.28	0.86	3.0
282	0.281	0.86	3.0
283	0.282	0.86	3.0
284	0.283	0.86	3.0
285	0.284	0.86	3.0
286	0.285	0.86	3.0
287	0.286	0.86	3.0
288	0.287	0.86	3.0
289	0.288	0.86	3.0
290	0.289	0.86	3.0
291	0.29	0.86	3.0
292	0.291	0.86	3.0
293	0.292	0.86	3.0
294	0.293	0.86	3.0
295	0.294	0.86	3.0
296	0.295	0.86	3.0
297	0.296	0.86	3.0
298	0.297	0.86	3.0
299	0.298	0.86	3.0
300	0.299	0.86	3.0
301	0.3	0.86	3.0
302	0.301	0.86	3.0
303	0.302	0.86	3.0
304	0.303	0.86	3.0
305	0.304	0.86	3.0
306	0.305	0.86	3.0
307	0.306	0.86	3.0
308	0.307	0.86	3.0
309	0.308	0.86	3.0
310	0.309	0.86	3.0
311	0.31	0.86	3.0
312	0.311	0.86	3.0
313	0.312	0.86	3.0
314	0.313	0.86	3.0
315	0.314	0.86	3.0
316	0.315	0.86	3.0
317	0.316	0.86	3.0
318	0.317	0.86	3.0
319	0.318	0.86	3.0
320	0.319	0.86	3.0
321	0.32	0.86	3.0
322	0.321	0.86	3.0
323	0.322	0.86	3.0
324	0.323	0.86	3.0
325	0.324	0.86	3.0
326	0.325	0.86	3.0
327	0.326	0.86	3.0
328	0.327	0.86	3.0
329	0.328	0.86	3.0
330	0.329	0.86	3.0
331	0.33	0.86	3.0
332	0.331	0.86	3.0
333	0.332	0.86	3.0
334	0.333	0.86	3.0
335	0.334	0.86	3.0
336	0.335	0.86	3.0
337	0.336	0.86	3.0
338	0.337	0.86	3.0
339	0.338	0.86	3.0
340	0.339	0.86	3.0
341	0.34	0.86	3.0
342	0.341	0.86	3.0
343	0.342	0.86	3.0
344	0.343	0.86	3.0
345	0.344	0.86	3.0
346	0.345	0.86	3.0
347	0.346	0.86	3.0
348	0.347	0.86	3.0
349	0.348	0.86	3.0
350	0.349	0.86	3.0
351	0.35	0.86	3.0
352	0.351	0.86	3.0
353	0.352	0.86	3.0
354	0.353	0.86	3.0
355	0.354	0.86	3.0
356	0.355	0.86	3.0
357	0.356	0.86	3.0
358	0.357	0.86	3.0
359	0.358	0.86	3.0
360	0.359	0.86	3.0
361	0.36	0.86	3.0
362	0.361	0.86	3.0
363	0.362	0.86	3.0
364	0.363	0.86	3.0
365	0.364	0.86	3.0
366	0.365	0.86	3.0
367	0.366	0.86	3.0
368	0.367	0.86	3.0
369	0.368	0.86	3.0
370	0.369	0.86	3.0
371	0.37	0.86	3.0
372	0.371	0.86	3.0
373	0.372	0.86	3.0
374	0.373	0.86	3.0
375	0.374	0.86	3.0
376	0.375	0.86	3.0
377	0.376	0.86	3.0
378	0.377	0.86	3.0
379	0.378	0.86	3.0
380	0.379	0.86	3.0
381	0.38	0.86	3.0
382	0.381	0.86	3.0
383	0.382	0.86	3.0
384	0.383	0.86	3.0
385	0.384	0.86	3.0
386	0.385	0.86	3.0
387	0.386	0.86	3.0
388	0.387	0.86	3.0
389	0.388	0.88	3.0
390	0.389	0.88	3.0
391	0.39	0.88	3.0
392	0.391	0.88	3.0
393	0.392	0.88	3.0
394	0.393	0.88	3.0
395	0.394	0.88	3.0
396	0.395	0.88	3.0
397	0.396	0.88	3.0
398	0.397	0.88	3.0
399	0.398	0.88	2.93333333333333
400	0.399	0.88	2.93333333333333
401	0.4	0.88	2.93333333333333
402	0.401	0.88	2.93333333333333
403	0.402	0.88	2.93333333333333
404	0.403	0.88	2.93333333333333
405	0.404	0.88	2.93333333333333
406	0.405	0.88	2.93333333333333
407	0.406	0.88	2.93333333333333
408	0.407	0.88	2.93333333333333
409	0.408	0.9	2.93478260869565
410	0.409	0.9	2.93478260869565
411	0.41	0.9	2.93478260869565
412	0.411	0.9	2.93478260869565
413	0.412	0.9	2.93478260869565
414	0.413	0.9	2.93478260869565
415	0.414	0.9	2.93478260869565
416	0.415	0.9	2.93478260869565
417	0.416	0.9	2.93478260869565
418	0.417	0.9	2.93478260869565
419	0.418	0.92	2.875
420	0.419	0.92	2.875
421	0.42	0.92	2.875
422	0.421	0.92	2.875
423	0.422	0.92	2.875
424	0.423	0.92	2.875
425	0.424	0.92	2.875
426	0.425	0.92	2.875
427	0.426	0.92	2.875
428	0.427	0.92	2.875
429	0.428	0.92	2.875
430	0.429	0.92	2.875
431	0.43	0.92	2.875
432	0.431	0.92	2.875
433	0.432	0.92	2.875
434	0.433	0.92	2.875
435	0.434	0.92	2.875
436	0.435	0.92	2.875
437	0.436	0.92	2.875
438	0.437	0.92	2.875
439	0.438	0.92	2.875
440	0.439	0.92	2.875
441	0.44	0.92	2.875
442	0.441	0.92	2.875
443	0.442	0.92	2.875
444	0.443	0.92	2.875
445	0.444	0.92	2.875
446	0.445	0.92	2.875
447	0.446	0.92	2.875
448	0.447	0.92	2.875
449	0.448	0.92	2.875
450	0.449	0.92	2.875
451	0.45	0.92	2.875
452	0.451	0.92	2.875
453	0.452	0.92	2.875
454	0.453	0.92	2.875
455	0.454	0.92	2.875
456	0.455	0.92	2.875
457	0.456	0.92	2.875
458	0.457	0.92	2.875
459	0.458	0.92	2.875
460	0.459	0.92	2.875
461	0.46	0.92	2.875
462	0.461	0.92	2.875
463	0.462	0.92	2.875
464	0.463	0.92	2.875
465	0.464	0.92	2.875
466	0.465	0.92	2.875
467	0.466	0.92	2.875
468	0.467	0.92	2.875
469	0.468	0.92	2.875
470	0.469	0.92	2.875
471	0.47	0.92	2.875
472	0.471	0.92	2.875
473	0.472	0.92	2.875
474	0.473	0.92	2.875
475	0.474	0.92	2.875
476	0.475	0.92	2.875
477	0.476	0.92	2.875
478	0.477	0.92	2.875
479	0.478	0.92	2.875
480	0.479	0.92	2.875
481	0.48	0.92	2.875
482	0.481	0.92	2.875
483	0.482	0.92	2.875
484	0.483	0.92	2.875
485	0.484	0.92	2.875
486	0.485	0.92	2.875
487	0.486	0.92	2.875
488	0.487	0.92	2.875
489	0.488	0.92	2.875
490	0.489	0.92	2.875
491	0.49	0.92	2.875
492	0.491	0.92	2.875
493	0.492	0.92	2.875
494	0.493	0.92	2.875
495	0.494	0.92	2.875
496	0.495	0.92	2.875
497	0.496	0.92	2.875
498	0.497	0.92	2.875
499	0.498	0.92	2.875
500	0.499	0.92	2.875
501	0.5	0.92	2.875
502	0.501	0.92	2.875
503	0.502	0.92	2.875
504	0.503	0.92	2.875
505	0.504	0.92	2.875
506	0.505	0.92	2.875
507	0.506	0.92	2.875
508	0.507	0.92	2.875
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995	0.994	1.0	1.5
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997	0.996	1.0	1.5
998	0.997	1.0	1.5
999	0.998	1.0	1.48514851485149
1000	0.999	1.0	1.48514851485149
1001	1.0	1.0	1.0

Rows: 1-1001 | Columns: 3