Ferenczy 1958

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.2853  0.0051  0.0556  0.0560  0.0456  0.04
Ashkenazy 1981   52  0.2764  0.0050  0.0747  0.0754  0.0551  0.06
Beliavsky 2004   62  0.1159  0.0062  0.0462  0.0462  0.0360  0.03
BenOr 1989   4  0.5638  0.005  0.377  0.6813  0.638  0.65
Biret 1990   23  0.4231  0.0022  0.1121  0.4812  0.3822  0.43
Blet 2003   9  0.5021  0.0015  0.1914  0.6213  0.6110  0.61
Block 1995   26  0.4154  0.0031  0.1130  0.2529  0.1532  0.19
Brailowsky 1960   6  0.543  0.143  0.314  0.734  0.722  0.72
Chiu 1999   35  0.3634  0.0041  0.0842  0.0838  0.0644  0.07
Clidat 1994   34  0.3641  0.0039  0.0939  0.0934  0.0842  0.08
Cohen 1997   61  0.1457  0.0061  0.0559  0.0562  0.0264  0.03
Coop 1987   7  0.5225  0.008  0.169  0.6714  0.4813  0.57
Cortot 1951   63  0.0552  0.0064  0.0364  0.0365  0.0265  0.02
Czerny 1949   42  0.3249  0.0033  0.1233  0.1237  0.0937  0.10
Czerny 1949b   46  0.3047  0.0047  0.1134  0.1139  0.0741  0.09
Ezaki 2006   1  0.631  0.411  0.411  0.853  0.771  0.81
Falvay 1989   15  0.4714  0.0020  0.1520  0.5011  0.5617  0.53
Ferenczy 1958   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fiorentino 1962   12  0.4942  0.0013  0.248  0.6710  0.677  0.67
Fliere 1977   36  0.3619  0.0032  0.1231  0.2414  0.4528  0.33
Fou 1978   29  0.4061  0.0021  0.1819  0.5220  0.5418  0.53
Francois 1956   44  0.3124  0.0046  0.0844  0.0825  0.2534  0.14
Hatto 1997   49  0.2851  0.0055  0.0653  0.0664  0.0261  0.03
Horowitz 1971   31  0.389  0.0129  0.0929  0.2520  0.3430  0.29
Horowitz 1985   45  0.3028  0.0034  0.1036  0.1036  0.0940  0.09
Indjic 2001   53  0.2620  0.0057  0.0750  0.0758  0.0353  0.05
Kapell 1951   28  0.4135  0.0025  0.1026  0.3615  0.4923  0.42
Kiepura 1999   37  0.3533  0.0038  0.0748  0.0748  0.0546  0.06
Kilenyi 1937   11  0.4910  0.017  0.2710  0.668  0.696  0.67
Kissin 1993   59  0.2156  0.0060  0.0655  0.0661  0.0355  0.04
Kitain 1937   60  0.1815  0.0059  0.0557  0.0561  0.0358  0.04
Kushner 1990   21  0.4336  0.0018  0.1918  0.5518  0.4519  0.50
Levy 1951   18  0.4543  0.0019  0.1723  0.439  0.5521  0.49
Luisada 1990   58  0.2244  0.0056  0.0654  0.0650  0.0552  0.05
Lushtak 2004   33  0.3716  0.0040  0.0843  0.0841  0.0745  0.07
Lympany 1968   22  0.426  0.0335  0.1035  0.1023  0.3731  0.19
Magaloff 1977   40  0.3326  0.0045  0.0938  0.0922  0.3133  0.17
Magaloff 1977b   48  0.2840  0.0052  0.0461  0.0457  0.0457  0.04
Magin 1975   32  0.3750  0.0024  0.1022  0.4525  0.3624  0.40
Milkina 1970   25  0.4260  0.0030  0.1032  0.2348  0.0635  0.12
Mohovich 1999   39  0.3445  0.0042  0.0840  0.0832  0.1339  0.10
Nadelmann 1956   14  0.4811  0.0114  0.1615  0.6010  0.4220  0.50
Ohlsson 1999   24  0.4237  0.0027  0.1127  0.3621  0.2629  0.31
Olejniczac 1990   13  0.4832  0.0012  0.146  0.6911  0.685  0.68
Olejniczak 1991   16  0.4623  0.0011  0.1612  0.639  0.649  0.63
Osinska 1989   10  0.5018  0.009  0.1513  0.6314  0.5511  0.59
Paderewski 1912   55  0.2539  0.0053  0.0460  0.0463  0.0363  0.03
Perahia 1994   27  0.4129  0.0036  0.1037  0.1033  0.1138  0.10
Perlemuter 1986   38  0.3427  0.0037  0.0745  0.0738  0.0648  0.06
Poblocka 1999   20  0.438  0.0117  0.2017  0.5911  0.5314  0.56
Rangell 2001   57  0.2317  0.0058  0.0558  0.0564  0.0359  0.04
Risler 1920   54  0.2665  0.0048  0.0841  0.0840  0.0643  0.07
Rosen 1989   3  0.584  0.104  0.375  0.713  0.704  0.70
Rubinstein 1939   51  0.2755  0.0044  0.0651  0.0658  0.0354  0.04
Rubinstein 1952   17  0.4612  0.0016  0.2216  0.5915  0.5415  0.56
Rubinstein 1966   8  0.5113  0.0010  0.1611  0.6411  0.5312  0.58
Rummel 1943   56  0.2362  0.0054  0.0652  0.0638  0.0650  0.06
Shebanova 2002   5  0.565  0.056  0.283  0.765  0.693  0.72
Smith 1975   43  0.3130  0.0043  0.0746  0.0749  0.0547  0.06
Szpilman 1948   41  0.3346  0.0026  0.1028  0.2721  0.4427  0.34
Uninsky 1971   47  0.2963  0.0049  0.0749  0.0752  0.0549  0.06
Wasowski 1980   30  0.3822  0.0023  0.0924  0.4222  0.3326  0.37
Weissenberg 1971   19  0.447  0.0128  0.1425  0.3713  0.4325  0.40
Average   2  0.612  0.162  0.392  0.8218  0.3516  0.54
Random 1    64  0.0348  0.0063  0.0363  0.036  0.4236  0.11
Random 2   65  -0.0458  0.0065  0.0265  0.0252  0.0462  0.03
Random 3   66  -0.0766  0.0066  0.0166  0.0163  0.0266  0.01

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).