Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  0.3251  0.0037  0.0637  0.2029  0.2613  0.23
Anderszewski 2003   35  0.3339  0.0048  0.0745  0.0776  0.0355  0.05
Ashkenazy 1981   22  0.3617  0.0010  0.1016  0.517  0.485  0.49
Bacha 2000   66  0.2567  0.0071  0.0647  0.0658  0.0449  0.05
Badura 1965   4  0.4412  0.005  0.227  0.577  0.484  0.52
Barbosa 1983   39  0.3234  0.0043  0.0739  0.1872  0.0442  0.08
Biret 1990   41  0.3152  0.0038  0.0734  0.2685  0.0341  0.09
Blet 2003   50  0.309  0.0057  0.0564  0.0558  0.0556  0.05
Block 1995   34  0.3353  0.0025  0.0725  0.3846  0.0720  0.16
Blumental 1952   19  0.3628  0.0030  0.1027  0.3652  0.0625  0.15
Boshniakovich 1969   29  0.3468  0.0018  0.0818  0.4650  0.0617  0.17
Brailowsky 1960   20  0.3629  0.0029  0.0728  0.3650  0.0719  0.16
Bunin 1987   75  0.2054  0.0056  0.0560  0.0585  0.0368  0.04
Bunin 1987b   82  0.1669  0.0074  0.0561  0.0587  0.0363  0.04
Chiu 1999   68  0.2455  0.0076  0.0468  0.0472  0.0375  0.03
Cohen 1997   76  0.2025  0.0059  0.0559  0.0582  0.0367  0.04
Cortot 1951   87  0.0970  0.0087  0.0380  0.0387  0.0288  0.02
Csalog 1996   74  0.2171  0.0078  0.0477  0.0486  0.0278  0.03
Czerny 1949   48  0.3044  0.0047  0.0746  0.0763  0.0547  0.06
Czerny 1990   9  0.4056  0.0011  0.106  0.5858  0.0518  0.17
Duchoud 2007   78  0.2026  0.0075  0.0465  0.0460  0.0566  0.04
Ezaki 2006   62  0.2572  0.0073  0.0563  0.0574  0.0459  0.04
Falvay 1989   23  0.3530  0.0026  0.0729  0.2773  0.0434  0.10
Farrell 1958   70  0.2373  0.0072  0.0473  0.0471  0.0462  0.04
Ferenczy 1958   42  0.3135  0.0035  0.0642  0.1555  0.0639  0.09
Fliere 1977   44  0.3074  0.0062  0.0476  0.0485  0.0373  0.03
Fou 1978   11  0.3910  0.0016  0.1513  0.5365  0.0422  0.15
Francois 1956   36  0.3275  0.008  0.1421  0.4319  0.387  0.40
Friedman 1923   1  0.951  0.981  0.971  0.991  0.991  0.99
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.635  0.002  0.642  0.832  0.822  0.82
Garcia 2007   86  0.1536  0.0086  0.0382  0.0383  0.0287  0.02
Garcia 2007b   58  0.2714  0.0069  0.0556  0.0559  0.0558  0.05
Gierzod 1998   31  0.3418  0.0046  0.0651  0.0685  0.0365  0.04
Gornostaeva 1994   18  0.3757  0.0015  0.1315  0.5246  0.0714  0.19
Groot 1988   64  0.2545  0.0054  0.0472  0.0478  0.0470  0.04
Harasiewicz 1955   15  0.3876  0.0024  0.0722  0.4084  0.0332  0.11
Hatto 1993   13  0.3846  0.009  0.149  0.5445  0.0616  0.18
Hatto 1997   12  0.3977  0.0014  0.1611  0.5465  0.0424  0.15
Horowitz 1949   57  0.2758  0.0061  0.0555  0.0530  0.2631  0.11
Indjic 1988   14  0.3878  0.0013  0.1014  0.5370  0.0423  0.15
Kapell 1951   77  0.2079  0.0080  0.0288  0.0285  0.0283  0.02
Kissin 1993   51  0.2959  0.0049  0.0650  0.0665  0.0553  0.05
Kushner 1989   28  0.3523  0.0034  0.0635  0.2666  0.0436  0.10
Luisada 1991   26  0.3531  0.0021  0.1019  0.4535  0.219  0.31
Lushtak 2004   21  0.3680  0.0028  0.0624  0.3980  0.0430  0.12
Malcuzynski 1961   59  0.2732  0.0063  0.0475  0.0483  0.0276  0.03
Magaloff 1978   45  0.3081  0.0044  0.0544  0.1070  0.0352  0.05
Magin 1975   43  0.313  0.0052  0.0469  0.0470  0.0461  0.04
Michalowski 1933   80  0.1847  0.0085  0.0286  0.0257  0.0385  0.02
Milkina 1970   16  0.3815  0.0019  0.0917  0.4777  0.0427  0.14
Mohovich 1999   32  0.3348  0.0036  0.0736  0.2069  0.0440  0.09
Moravec 1969   67  0.2433  0.0053  0.0467  0.0477  0.0372  0.03
Morozova 2008   69  0.2419  0.0051  0.0466  0.0484  0.0380  0.03
Neighaus 1950   3  0.4820  0.003  0.5010  0.545  0.593  0.56
Niedzielski 1931   55  0.2827  0.0023  0.0838  0.1960  0.0535  0.10
Ohlsson 1999   27  0.357  0.0041  0.1130  0.2762  0.0528  0.12
Osinska 1989   25  0.3521  0.0032  0.0631  0.2768  0.0433  0.10
Pachmann 1927   71  0.232  0.0077  0.0470  0.0464  0.0377  0.03
Paderewski 1930   73  0.2182  0.0055  0.0478  0.0442  0.1345  0.07
Perlemuter 1992   72  0.2337  0.0060  0.0652  0.0661  0.0450  0.05
Pierdomenico 2008   83  0.1683  0.0084  0.0384  0.0384  0.0282  0.02
Poblocka 1999   53  0.2849  0.0070  0.0653  0.0672  0.0551  0.05
Rabcewiczowa 1932   63  0.2540  0.0039  0.0741  0.1682  0.0343  0.07
Rachmaninoff 1923   33  0.3341  0.0022  0.1023  0.4034  0.2410  0.31
Rangell 2001   61  0.2642  0.0068  0.0557  0.0579  0.0469  0.04
Richter 1976   65  0.254  0.0033  0.0643  0.1153  0.0444  0.07
Rosen 1989   24  0.3550  0.0040  0.0832  0.2765  0.0437  0.10
Rosenthal 1930   46  0.306  0.0067  0.0554  0.0549  0.0557  0.05
Rosenthal 1931   54  0.2884  0.0064  0.0474  0.0461  0.0464  0.04
Rosenthal 1931b   52  0.2860  0.0065  0.0471  0.0452  0.0571  0.04
Rosenthal 1931c   40  0.3213  0.0045  0.0649  0.0653  0.0748  0.06
Rosenthal 1931d   56  0.2761  0.0066  0.0558  0.0544  0.1046  0.07
Rossi 2007   81  0.188  0.0079  0.0383  0.0373  0.0374  0.03
Rubinstein 1939   17  0.3824  0.0020  0.1120  0.4450  0.0521  0.15
Rubinstein 1952   8  0.4162  0.004  0.213  0.6244  0.1211  0.27
Rubinstein 1966   6  0.4216  0.0012  0.118  0.5658  0.0615  0.18
Schilhawsky 1960   79  0.1985  0.0082  0.0379  0.0385  0.0379  0.03
Shebanova 2002   49  0.3063  0.0027  0.0633  0.2756  0.0529  0.12
Smith 1975   5  0.4322  0.006  0.115  0.5827  0.356  0.45
Sokolov 2002   60  0.2738  0.0058  0.0562  0.0576  0.0360  0.04
Sztompka 1959   37  0.3264  0.0042  0.0740  0.1854  0.0538  0.09
Tomsic 1995   85  0.1686  0.0083  0.0381  0.0388  0.0284  0.02
Uninsky 1932   84  0.1687  0.0081  0.0385  0.0385  0.0286  0.02
Uninsky 1971   47  0.3088  0.0050  0.0648  0.0670  0.0454  0.05
Wasowski 1980   30  0.3489  0.0031  0.0926  0.3763  0.0526  0.14
Zak 1937   7  0.4165  0.007  0.124  0.6036  0.248  0.38
Zak 1951   10  0.4043  0.0017  0.1712  0.5340  0.1012  0.23
Random 1   89  -0.0990  0.0088  0.0287  0.0251  0.0481  0.03
Random 2   88  -0.0811  0.0090  0.0190  0.0187  0.0189  0.01
Random 3   90  -0.1366  0.0089  0.0189  0.0187  0.0290  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).