Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.644  0.0412  0.1912  0.4121  0.3713  0.39
Anderszewski 2003   78  0.3676  0.0059  0.0468  0.0444  0.1160  0.07
Ashkenazy 1981   32  0.5425  0.0019  0.0522  0.2932  0.2529  0.27
Bacha 2000   27  0.5637  0.0047  0.0559  0.059  0.5638  0.17
Badura 1965   67  0.4212  0.0164  0.0469  0.0452  0.0579  0.04
Barbosa 1983   57  0.4758  0.0053  0.0551  0.0541  0.2252  0.10
Biret 1990   44  0.5214  0.0130  0.0629  0.2128  0.3630  0.27
Blet 2003   49  0.4866  0.0078  0.0558  0.0555  0.0567  0.05
Block 1995   50  0.4885  0.0068  0.0379  0.0348  0.0487  0.03
Blumental 1952   80  0.3574  0.0075  0.0382  0.0377  0.0388  0.03
Boshniakovich 1969   53  0.4871  0.0071  0.0461  0.0448  0.0580  0.04
Brailowsky 1960   23  0.5832  0.0035  0.0535  0.185  0.5320  0.31
Bunin 1987   51  0.4829  0.0062  0.0466  0.0462  0.0481  0.04
Bunin 1987b   52  0.4853  0.0063  0.0552  0.0559  0.0474  0.04
Chiu 1999   38  0.5347  0.0032  0.0531  0.2022  0.4324  0.29
Cohen 1997   62  0.4443  0.0050  0.0554  0.0510  0.4943  0.16
Cortot 1951   71  0.4038  0.0082  0.0556  0.0554  0.0571  0.05
Csalog 1996   36  0.5317  0.0052  0.0557  0.059  0.5342  0.16
Czerny 1949   30  0.5531  0.0040  0.0638  0.1424  0.4033  0.24
Czerny 1990   21  0.5877  0.0034  0.0834  0.1960  0.0556  0.10
Duchoud 2007   58  0.4721  0.0057  0.0465  0.0448  0.0669  0.05
Ezaki 2006   14  0.6130  0.0024  0.0716  0.3531  0.2718  0.31
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   43  0.5251  0.0054  0.0648  0.067  0.4939  0.17
Ferenczy 1958   55  0.4826  0.0073  0.0472  0.0430  0.2354  0.10
Fliere 1977   31  0.5586  0.0038  0.0539  0.1444  0.1048  0.12
Fou 1978   4  0.717  0.033  0.203  0.705  0.583  0.64
Francois 1956   10  0.6411  0.017  0.206  0.554  0.636  0.59
Friedman 1923   90  -0.0487  0.0091  0.0191  0.0182  0.0391  0.02
Friedman 1923b   89  -0.0367  0.0090  0.0287  0.0280  0.0390  0.02
Friedman 1930   86  0.1488  0.0086  0.0378  0.0357  0.0485  0.03
Garcia 2007   83  0.2042  0.0083  0.0386  0.0362  0.0486  0.03
Garcia 2007b   85  0.1744  0.0085  0.0471  0.0432  0.2558  0.10
Gierzod 1998   46  0.5152  0.0020  0.0633  0.2019  0.3231  0.25
Gornostaeva 1994   22  0.5868  0.0021  0.0527  0.2329  0.2634  0.24
Groot 1988   3  0.718  0.025  0.185  0.642  0.634  0.63
Harasiewicz 1955   41  0.5227  0.0023  0.0520  0.3235  0.2032  0.25
Hatto 1993   81  0.3354  0.0058  0.0549  0.0549  0.0570  0.05
Hatto 1997   69  0.419  0.0129  0.0537  0.1439  0.1245  0.13
Horowitz 1949   34  0.5455  0.0013  0.1025  0.2516  0.3723  0.30
Indjic 1988   79  0.3633  0.0051  0.0553  0.0566  0.0477  0.04
Kapell 1951   45  0.5134  0.0056  0.0550  0.0566  0.0473  0.04
Kissin 1993   6  0.696  0.036  0.217  0.559  0.567  0.55
Kushner 1989   15  0.6035  0.0036  0.0630  0.2120  0.3627  0.27
Luisada 1991   37  0.5346  0.0014  0.0721  0.2923  0.3419  0.31
Lushtak 2004   29  0.5659  0.0027  0.0617  0.3424  0.3616  0.35
Malcuzynski 1961   16  0.6064  0.0025  0.0824  0.2739  0.1935  0.23
Magaloff 1978   18  0.5916  0.018  0.159  0.4912  0.4011  0.44
Magin 1975   61  0.4475  0.0061  0.0560  0.0546  0.0666  0.05
Michalowski 1933   84  0.1828  0.0065  0.0473  0.0461  0.0476  0.04
Milkina 1970   5  0.702  0.322  0.412  0.751  0.721  0.73
Mohovich 1999   12  0.6181  0.0015  0.0618  0.3225  0.3121  0.31
Moravec 1969   17  0.6024  0.0026  0.0623  0.2815  0.4017  0.33
Morozova 2008   28  0.5619  0.0018  0.0613  0.4015  0.3714  0.38
Neighaus 1950   20  0.5840  0.0017  0.0614  0.3931  0.2522  0.31
Niedzielski 1931   77  0.3713  0.0176  0.0384  0.0343  0.0965  0.05
Ohlsson 1999   48  0.5189  0.0028  0.0532  0.2025  0.2636  0.23
Osinska 1989   26  0.5623  0.0033  0.0628  0.2217  0.3626  0.28
Pachmann 1927   47  0.5161  0.0048  0.0647  0.0621  0.4541  0.16
Paderewski 1930   65  0.4378  0.0079  0.0377  0.0378  0.0382  0.03
Perlemuter 1992   39  0.5372  0.0045  0.0444  0.0843  0.1251  0.10
Pierdomenico 2008   42  0.5218  0.0031  0.0526  0.247  0.5415  0.36
Poblocka 1999   24  0.5736  0.0046  0.0463  0.0425  0.2850  0.11
Rabcewiczowa 1932   66  0.4382  0.0072  0.0467  0.0449  0.0572  0.04
Rachmaninoff 1923   70  0.4183  0.0044  0.0446  0.0752  0.0562  0.06
Rangell 2001   54  0.4848  0.0042  0.0442  0.0937  0.1947  0.13
Richter 1976   33  0.5441  0.0037  0.0540  0.1231  0.2340  0.17
Rosen 1989   40  0.5349  0.0049  0.0745  0.0733  0.2446  0.13
Rosenthal 1930   68  0.4279  0.0070  0.0464  0.0438  0.2555  0.10
Rosenthal 1931   74  0.3869  0.0067  0.0383  0.0323  0.3653  0.10
Rosenthal 1931b   76  0.3870  0.0066  0.0381  0.0322  0.3557  0.10
Rosenthal 1931c   60  0.4580  0.0069  0.0375  0.0332  0.2559  0.09
Rosenthal 1931d   64  0.4384  0.0060  0.0462  0.0419  0.3649  0.12
Rossi 2007   82  0.2550  0.0084  0.0385  0.0345  0.0864  0.05
Rubinstein 1939   73  0.3915  0.0155  0.0555  0.057  0.4844  0.15
Rubinstein 1952   7  0.665  0.0310  0.2010  0.494  0.608  0.54
Rubinstein 1966   25  0.5656  0.0039  0.0636  0.1716  0.4328  0.27
Schilhawsky 1960   72  0.4062  0.0077  0.0380  0.0374  0.0384  0.03
Shebanova 2002   13  0.6139  0.0016  0.0615  0.3718  0.4312  0.40
Smith 1975   19  0.5945  0.0022  0.0619  0.3231  0.2625  0.29
Sokolov 2002   35  0.5360  0.0043  0.0443  0.0853  0.0561  0.06
Sztompka 1959   63  0.4490  0.0080  0.0470  0.0472  0.0475  0.04
Tomsic 1995   2  0.733  0.064  0.194  0.674  0.632  0.65
Uninsky 1932   75  0.3873  0.0081  0.0474  0.0477  0.0478  0.04
Uninsky 1971   59  0.4620  0.0074  0.0376  0.0368  0.0383  0.03
Wasowski 1980   56  0.4810  0.0141  0.0441  0.1020  0.3337  0.18
Zak 1937   11  0.6363  0.0011  0.1611  0.485  0.599  0.53
Zak 1951   8  0.6522  0.009  0.208  0.545  0.645  0.59
Average   1  0.741  0.341  0.331  0.7517  0.3610  0.52
Random 1   88  -0.0291  0.0088  0.0288  0.0234  0.1663  0.06
Random 2   91  -0.0557  0.0087  0.0289  0.0241  0.1168  0.05
Random 3   87  -0.0165  0.0089  0.0290  0.0255  0.0389  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).