Fiorentino 1962

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.3133  0.0041  0.0846  0.0839  0.0639  0.07
Ashkenazy 1981   56  0.2549  0.0053  0.0845  0.0840  0.0641  0.07
Beliavsky 2004   63  0.0341  0.0061  0.0361  0.0356  0.0462  0.03
BenOr 1989   13  0.4416  0.0015  0.1114  0.5434  0.1524  0.28
Biret 1990   23  0.3942  0.0022  0.0920  0.4138  0.0730  0.17
Blet 2003   3  0.5759  0.003  0.373  0.752  0.753  0.75
Block 1995   25  0.3934  0.0013  0.1518  0.4712  0.4116  0.44
Brailowsky 1960   12  0.479  0.0012  0.2311  0.6418  0.5110  0.57
Chiu 1999   48  0.3043  0.0043  0.0844  0.0844  0.0543  0.06
Clidat 1994   35  0.3560  0.0031  0.0930  0.2332  0.1329  0.17
Cohen 1997   60  0.1350  0.0060  0.0460  0.0459  0.0364  0.03
Coop 1987   6  0.5044  0.008  0.286  0.7117  0.489  0.58
Cortot 1951   61  0.0830  0.0063  0.0263  0.0258  0.0365  0.02
Czerny 1949   21  0.4035  0.0017  0.1516  0.5023  0.2919  0.38
Czerny 1949b   24  0.3936  0.0027  0.0927  0.3221  0.3322  0.32
Ezaki 2006   19  0.414  0.0021  0.1417  0.5025  0.4815  0.49
Falvay 1989   15  0.4220  0.0014  0.1613  0.5717  0.4913  0.53
Ferenczy 1958   9  0.4914  0.005  0.309  0.688  0.686  0.68
Fiorentino 1962   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   31  0.373  0.0030  0.1029  0.2918  0.4220  0.35
Fou 1978   17  0.426  0.0026  0.1419  0.4125  0.4318  0.42
Francois 1956   57  0.2461  0.0057  0.0842  0.0859  0.0450  0.06
Hatto 1997   50  0.2962  0.0049  0.0555  0.0549  0.0553  0.05
Horowitz 1971   40  0.3323  0.0038  0.0843  0.0850  0.0549  0.06
Horowitz 1985   32  0.3745  0.0016  0.1023  0.3819  0.3221  0.35
Indjic 2001   51  0.2963  0.0050  0.0750  0.0750  0.0455  0.05
Kapell 1951   29  0.3924  0.0033  0.1034  0.1027  0.2928  0.17
Kiepura 1999   16  0.4237  0.0025  0.1121  0.4129  0.1725  0.26
Kilenyi 1937   8  0.4915  0.007  0.258  0.714  0.734  0.72
Kissin 1993   55  0.2651  0.0056  0.0653  0.0653  0.0452  0.05
Kitain 1937   58  0.1911  0.0058  0.0654  0.0655  0.0457  0.05
Kushner 1990   33  0.3626  0.0037  0.1035  0.1044  0.0637  0.08
Levy 1951   37  0.3438  0.0044  0.0937  0.0939  0.0736  0.08
Luisada 1990   10  0.4825  0.006  0.2210  0.643  0.687  0.66
Lushtak 2004   52  0.2852  0.0046  0.0559  0.0558  0.0458  0.04
Lympany 1968   45  0.3146  0.0047  0.0748  0.0741  0.0642  0.06
Magaloff 1977   53  0.2839  0.0055  0.0749  0.0750  0.0454  0.05
Magaloff 1977b   54  0.2713  0.0054  0.0558  0.0542  0.0556  0.05
Magin 1975   4  0.5717  0.004  0.474  0.736  0.675  0.70
Milkina 1970   41  0.3364  0.0034  0.0940  0.0960  0.0445  0.06
Mohovich 1999   42  0.325  0.0051  0.0938  0.0936  0.0640  0.07
Nadelmann 1956   14  0.4453  0.0024  0.1122  0.4144  0.0631  0.16
Ohlsson 1999   28  0.3927  0.0035  0.0847  0.0844  0.0546  0.06
Olejniczac 1990   1  0.961  0.991  0.981  1.001  1.001  1.00
Olejniczak 1991   2  0.802  0.002  0.902  0.952  0.962  0.95
Osinska 1989   7  0.5047  0.0011  0.235  0.7223  0.4112  0.54
Paderewski 1912   46  0.3118  0.0052  0.0939  0.0952  0.0447  0.06
Perahia 1994   49  0.3031  0.0048  0.0556  0.0557  0.0459  0.04
Perlemuter 1986   20  0.4154  0.0028  0.0832  0.1743  0.0634  0.10
Poblocka 1999   43  0.3221  0.0040  0.0752  0.0755  0.0451  0.05
Rangell 2001   59  0.1628  0.0059  0.0557  0.0562  0.0360  0.04
Risler 1920   38  0.3412  0.0020  0.1024  0.378  0.5117  0.43
Rosen 1989   18  0.4255  0.0018  0.1215  0.5319  0.5911  0.56
Rubinstein 1939   44  0.3256  0.0045  0.0751  0.0748  0.0544  0.06
Rubinstein 1952   11  0.487  0.009  0.2012  0.6413  0.558  0.59
Rubinstein 1966   5  0.5140  0.0010  0.227  0.7123  0.3814  0.52
Rummel 1943   30  0.3710  0.0039  0.0841  0.0845  0.0548  0.06
Shebanova 2002   26  0.3932  0.0029  0.0928  0.3040  0.0733  0.14
Smith 1975   27  0.398  0.0023  0.0925  0.3720  0.2623  0.31
Szpilman 1948   36  0.3548  0.0042  0.1233  0.1231  0.1832  0.15
Uninsky 1971   39  0.3357  0.0036  0.0936  0.0947  0.0538  0.07
Wasowski 1980   22  0.4029  0.0019  0.1026  0.3634  0.1027  0.19
Weissenberg 1971   34  0.3665  0.0032  0.1031  0.1925  0.2326  0.21
Random 1    65  0.0122  0.0065  0.0265  0.0234  0.0661  0.03
Random 2   64  0.0358  0.0062  0.0362  0.0317  0.3635  0.10
Random 3   62  0.0519  0.0064  0.0264  0.0242  0.0663  0.03

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).