Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.4013  0.0112  0.0814  0.4332  0.3416  0.38
Anderszewski 2003   71  0.2080  0.0076  0.0371  0.0349  0.0761  0.05
Ashkenazy 1981   5  0.448  0.027  0.136  0.5339  0.2618  0.37
Bacha 2000   17  0.3738  0.0025  0.0822  0.3724  0.4014  0.38
Badura 1965   43  0.3025  0.0036  0.0635  0.2120  0.4825  0.32
Barbosa 1983   57  0.2474  0.0054  0.0651  0.0642  0.1353  0.09
Biret 1990   24  0.3457  0.0034  0.0534  0.2121  0.5521  0.34
Blet 2003   75  0.1869  0.0081  0.0380  0.0381  0.0288  0.02
Block 1995   74  0.1990  0.0066  0.0464  0.0480  0.0383  0.03
Blumental 1952   35  0.3160  0.0029  0.0632  0.2543  0.1236  0.17
Boshniakovich 1969   82  0.1458  0.0071  0.0372  0.0346  0.0764  0.05
Brailowsky 1960   68  0.2117  0.0178  0.0379  0.0360  0.0568  0.04
Bunin 1987   42  0.3018  0.0146  0.0647  0.0637  0.2144  0.11
Bunin 1987b   39  0.309  0.0247  0.1045  0.1037  0.2040  0.14
Chiu 1999   16  0.3722  0.0139  0.0643  0.1256  0.0655  0.08
Cohen 1997   23  0.3545  0.0027  0.0625  0.3530  0.4117  0.38
Cortot 1951   53  0.2546  0.0060  0.0460  0.0448  0.0666  0.05
Csalog 1996   56  0.246  0.0345  0.0648  0.0635  0.2143  0.11
Czerny 1949   9  0.4127  0.0011  0.1012  0.4519  0.694  0.56
Czerny 1990   33  0.3184  0.0038  0.0638  0.1749  0.0842  0.12
Duchoud 2007   7  0.4115  0.0110  0.115  0.5423  0.467  0.50
Ezaki 2006   34  0.3142  0.0032  0.0631  0.2644  0.1734  0.21
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   19  0.3764  0.0017  0.0713  0.4315  0.5111  0.47
Ferenczy 1958   27  0.3321  0.0126  0.0924  0.3517  0.756  0.51
Fliere 1977   64  0.2281  0.0067  0.0375  0.0380  0.0478  0.03
Fou 1978   6  0.433  0.066  0.144  0.5625  0.4110  0.48
Francois 1956   32  0.3259  0.0014  0.0811  0.4518  0.595  0.52
Friedman 1923   85  0.1082  0.0087  0.0285  0.0272  0.0486  0.03
Friedman 1923b   84  0.1088  0.0086  0.0287  0.0266  0.0585  0.03
Friedman 1930   79  0.1670  0.0083  0.0283  0.0277  0.0481  0.03
Garcia 2007   69  0.2050  0.0069  0.0373  0.0369  0.0482  0.03
Garcia 2007b   58  0.2334  0.0064  0.0365  0.0343  0.1459  0.06
Gierzod 1998   76  0.1837  0.0075  0.0374  0.0351  0.0762  0.05
Gornostaeva 1994   31  0.3255  0.0035  0.0633  0.2227  0.4527  0.31
Groot 1988   10  0.4130  0.009  0.148  0.5240  0.2026  0.32
Harasiewicz 1955   40  0.3047  0.0055  0.0558  0.0563  0.0567  0.05
Hatto 1993   15  0.3866  0.0016  0.0818  0.4053  0.0835  0.18
Hatto 1997   2  0.475  0.034  0.179  0.5113  0.488  0.49
Horowitz 1949   67  0.2175  0.0065  0.0381  0.0366  0.0572  0.04
Indjic 1988   13  0.4043  0.0013  0.0915  0.4341  0.2029  0.29
Kapell 1951   26  0.3431  0.0031  0.0627  0.2950  0.0739  0.14
Kissin 1993   47  0.2832  0.0030  0.0636  0.2140  0.2932  0.25
Kushner 1989   12  0.4023  0.0118  0.0716  0.4130  0.3615  0.38
Luisada 1991   25  0.3424  0.0121  0.0728  0.2834  0.2930  0.28
Lushtak 2004   45  0.2939  0.0051  0.0555  0.0530  0.2047  0.10
Malcuzynski 1961   70  0.2085  0.0074  0.0463  0.0470  0.0471  0.04
Magaloff 1978   81  0.167  0.0342  0.0644  0.1246  0.0749  0.09
Magin 1975   73  0.2067  0.0080  0.0462  0.0467  0.0569  0.04
Michalowski 1933   66  0.2116  0.0143  0.0642  0.1343  0.1837  0.15
Milkina 1970   1  0.501  0.401  0.401  0.642  0.781  0.71
Mohovich 1999   65  0.2151  0.0079  0.0377  0.0381  0.0384  0.03
Moravec 1969   11  0.4119  0.018  0.1410  0.4915  0.489  0.48
Morozova 2008   18  0.374  0.0419  0.1120  0.3728  0.3023  0.33
Neighaus 1950   51  0.2752  0.0049  0.0649  0.0671  0.0465  0.05
Niedzielski 1931   59  0.2335  0.0063  0.0554  0.0566  0.0560  0.05
Ohlsson 1999   62  0.2283  0.0070  0.0378  0.0378  0.0480  0.03
Osinska 1989   44  0.2911  0.0223  0.0926  0.3332  0.4019  0.36
Pachmann 1927   78  0.1744  0.0072  0.0368  0.0368  0.0575  0.04
Paderewski 1930   80  0.1676  0.0068  0.0376  0.0364  0.0674  0.04
Perlemuter 1992   83  0.1465  0.0084  0.0282  0.0283  0.0387  0.02
Pierdomenico 2008   50  0.2720  0.0150  0.0556  0.0541  0.1551  0.09
Poblocka 1999   41  0.3029  0.0052  0.0650  0.0643  0.1348  0.09
Rabcewiczowa 1932   52  0.2777  0.0061  0.0557  0.0542  0.1552  0.09
Rachmaninoff 1923   36  0.3148  0.0048  0.0652  0.0641  0.1450  0.09
Rangell 2001   48  0.2841  0.0040  0.0539  0.1662  0.0554  0.09
Richter 1976   61  0.2262  0.0073  0.0369  0.0357  0.0673  0.04
Rosen 1989   54  0.2563  0.0053  0.0653  0.0668  0.0463  0.05
Rosenthal 1930   46  0.2978  0.0033  0.0729  0.2731  0.4024  0.33
Rosenthal 1931   77  0.1856  0.0062  0.0746  0.0736  0.3438  0.15
Rosenthal 1931b   63  0.2253  0.0057  0.0367  0.0334  0.4145  0.11
Rosenthal 1931c   60  0.2268  0.0059  0.0370  0.0347  0.0677  0.04
Rosenthal 1931d   72  0.2086  0.0041  0.0740  0.1326  0.4133  0.23
Rossi 2007   87  0.0449  0.0088  0.0288  0.0262  0.0479  0.03
Rubinstein 1939   3  0.462  0.172  0.352  0.633  0.732  0.68
Rubinstein 1952   49  0.2871  0.0015  0.0817  0.4132  0.3120  0.36
Rubinstein 1966   21  0.3528  0.0020  0.0821  0.3729  0.2528  0.30
Schilhawsky 1960   86  0.0872  0.0089  0.0289  0.0282  0.0389  0.02
Shebanova 2002   29  0.3314  0.0144  0.0741  0.1359  0.0846  0.10
Smith 1975   30  0.3261  0.0024  0.0623  0.3523  0.4413  0.39
Sokolov 2002   22  0.3573  0.0037  0.0637  0.1926  0.3931  0.27
Sztompka 1959   55  0.2489  0.0077  0.0459  0.0468  0.0576  0.04
Tomsic 1995   4  0.4426  0.003  0.333  0.582  0.643  0.61
Uninsky 1932   20  0.3633  0.0028  0.0630  0.2654  0.0641  0.12
Uninsky 1971   8  0.4110  0.025  0.187  0.5319  0.3812  0.45
Wasowski 1980   28  0.3312  0.0222  0.0919  0.3937  0.2822  0.33
Zak 1937   38  0.3036  0.0058  0.0366  0.0362  0.0670  0.04
Zak 1951   37  0.3140  0.0056  0.0461  0.0442  0.1357  0.07
Random 1   89  0.0287  0.0085  0.0286  0.0213  0.3656  0.08
Random 2   88  0.0254  0.0082  0.0284  0.0230  0.2658  0.07
Random 3   90  -0.0679  0.0090  0.0190  0.0163  0.0390  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).