Fiorentino 1962

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.6746  0.0043  0.0745  0.0721  0.3042  0.14
Ashkenazy 1981   27  0.7250  0.0033  0.1234  0.1238  0.0848  0.10
Beliavsky 2004   53  0.6355  0.0051  0.0554  0.0533  0.1052  0.07
BenOr 1989   7  0.794  0.006  0.197  0.7114  0.519  0.60
Biret 1990   19  0.7442  0.0022  0.1615  0.549  0.5913  0.56
Blet 2003   17  0.7510  0.0011  0.1514  0.553  0.766  0.65
Block 1995   24  0.7343  0.0028  0.1126  0.2914  0.5124  0.38
Brailowsky 1960   52  0.6356  0.0054  0.0555  0.0528  0.3544  0.13
Chiu 1999   18  0.7551  0.0017  0.1013  0.5611  0.5812  0.57
Clidat 1994   38  0.6911  0.0039  0.0939  0.0924  0.2045  0.13
Cohen 1997   62  0.5457  0.0062  0.0463  0.0451  0.0564  0.04
Coop 1987   9  0.7760  0.008  0.209  0.6615  0.5111  0.58
Cortot 1951   56  0.6136  0.0059  0.0560  0.0558  0.0465  0.04
Czerny 1949   26  0.7334  0.0018  0.1219  0.4914  0.5616  0.52
Czerny 1949b   34  0.7044  0.0019  0.1022  0.4412  0.5917  0.51
Ezaki 2006   13  0.7631  0.0015  0.0916  0.5424  0.3921  0.46
Falvay 1989   10  0.7724  0.0013  0.2412  0.6210  0.638  0.62
Ferenczy 1958   57  0.6115  0.0049  0.0650  0.0615  0.4739  0.17
Fiorentino 1962   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   4  0.803  0.004  0.324  0.822  0.733  0.77
Fou 1978   20  0.7319  0.0023  0.1223  0.4129  0.2927  0.34
Francois 1956   61  0.5437  0.0061  0.0553  0.0532  0.1250  0.08
Hatto 1997   51  0.6461  0.0053  0.0746  0.0751  0.0555  0.06
Horowitz 1971   54  0.6262  0.0055  0.0556  0.0542  0.0662  0.05
Horowitz 1985   60  0.5545  0.0060  0.0558  0.0547  0.0559  0.05
Indjic 2001   47  0.6663  0.0047  0.0647  0.0647  0.0657  0.06
Kapell 1951   16  0.7523  0.0021  0.1420  0.4825  0.3223  0.39
Kiepura 1999   36  0.6912  0.0040  0.0648  0.0613  0.5536  0.18
Kilenyi 1937   12  0.7738  0.009  0.238  0.6712  0.597  0.63
Kissin 1993   8  0.7725  0.0010  0.3010  0.6623  0.3819  0.50
Kitain 1937   63  0.4413  0.0063  0.0652  0.0645  0.0658  0.06
Kushner 1990   50  0.6559  0.0050  0.0461  0.0443  0.0760  0.05
Levy 1951   42  0.6747  0.0042  0.0651  0.0651  0.0654  0.06
Luisada 1990   15  0.757  0.0014  0.1121  0.476  0.5618  0.51
Lushtak 2004   39  0.6965  0.0045  0.0938  0.0934  0.1049  0.09
Lympany 1968   40  0.6848  0.0041  0.0649  0.0618  0.4340  0.16
Magaloff 1977   25  0.7352  0.0025  0.1029  0.2222  0.3531  0.28
Magaloff 1977b   29  0.7239  0.0035  0.1236  0.1227  0.2637  0.18
Magin 1975   5  0.8020  0.005  0.386  0.7410  0.674  0.70
Milkina 1970   41  0.6832  0.0046  0.0843  0.0849  0.0651  0.07
Mohovich 1999   30  0.728  0.0029  0.1028  0.2315  0.5426  0.35
Nadelmann 1956   28  0.726  0.0030  0.1030  0.218  0.5028  0.32
Ohlsson 1999   35  0.7035  0.0036  0.1831  0.1813  0.4829  0.29
Olejniczac 1990   1  0.991  1.001  0.981  1.001  1.001  1.00
Olejniczak 1991   2  0.872  0.002  0.653  0.932  0.952  0.94
Osinska 1989   6  0.7921  0.007  0.225  0.7520  0.4710  0.59
Paderewski 1912   46  0.6633  0.0044  0.0842  0.0824  0.2443  0.14
Perahia 1994   59  0.5526  0.0057  0.0462  0.0443  0.0661  0.05
Perlemuter 1986   43  0.6753  0.0031  0.0833  0.1511  0.5530  0.29
Poblocka 1999   14  0.7649  0.0016  0.1317  0.5129  0.3422  0.42
Rangell 2001   23  0.739  0.0032  0.0832  0.1525  0.2735  0.20
Risler 1920   45  0.6740  0.0037  0.1235  0.1217  0.4533  0.23
Rosen 1989   49  0.6627  0.0052  0.0557  0.0516  0.4441  0.15
Rubinstein 1939   58  0.5964  0.0058  0.0559  0.0558  0.0463  0.04
Rubinstein 1952   32  0.7154  0.0026  0.0927  0.2814  0.5025  0.37
Rubinstein 1966   48  0.6614  0.0048  0.0940  0.0951  0.0553  0.07
Rummel 1943   55  0.615  0.0056  0.0744  0.0742  0.0656  0.06
Shebanova 2002   33  0.7116  0.0034  0.1137  0.1119  0.3734  0.20
Smith 1975   31  0.7117  0.0027  0.1025  0.3029  0.2432  0.27
Szpilman 1948   22  0.7358  0.0024  0.1424  0.3911  0.5920  0.48
Uninsky 1971   21  0.7328  0.0020  0.1318  0.508  0.5415  0.52
Wasowski 1980   37  0.6929  0.0038  0.0841  0.0825  0.3738  0.17
Weissenberg 1971   11  0.7730  0.0012  0.2011  0.6318  0.4514  0.53
Average   3  0.8622  0.003  0.852  0.9414  0.515  0.69
Random 1    65  0.0066  0.0065  0.0365  0.0312  0.3247  0.10
Random 2   64  0.0518  0.0064  0.0364  0.033  0.4746  0.12
Random 3   66  -0.0241  0.0066  0.0166  0.0140  0.0466  0.02

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).