Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.2012  0.0028  0.0832  0.2088  0.0241  0.06
Anderszewski 2003   55  0.1725  0.0055  0.0557  0.0573  0.0361  0.04
Ashkenazy 1981   13  0.336  0.0020  0.0719  0.3683  0.0332  0.10
Bacha 2000   77  0.0526  0.0084  0.0284  0.0289  0.0281  0.02
Badura 1965   32  0.2427  0.0023  0.0627  0.2863  0.0428  0.11
Barbosa 1983   58  0.1728  0.0066  0.0476  0.0482  0.0372  0.03
Biret 1990   56  0.1729  0.0057  0.0651  0.0678  0.0364  0.04
Blet 2003   12  0.349  0.0011  0.0815  0.4562  0.0518  0.15
Block 1995   52  0.185  0.0026  0.0636  0.1686  0.0242  0.06
Blumental 1952   27  0.2630  0.0019  0.0920  0.3630  0.248  0.29
Boshniakovich 1969   43  0.2131  0.0037  0.0734  0.1861  0.0436  0.08
Brailowsky 1960   84  0.0013  0.0082  0.0285  0.0289  0.0283  0.02
Bunin 1987   16  0.3132  0.0016  0.1214  0.4644  0.1210  0.23
Bunin 1987b   15  0.3133  0.0015  0.0912  0.4644  0.129  0.23
Chiu 1999   17  0.3034  0.0022  0.0728  0.2759  0.0430  0.10
Cohen 1997   88  -0.0735  0.0089  0.0289  0.0290  0.0289  0.02
Cortot 1951   29  0.2636  0.0024  0.0623  0.3259  0.0524  0.13
Csalog 1996   85  -0.0137  0.0088  0.0382  0.0389  0.0287  0.02
Czerny 1949   67  0.1338  0.0046  0.0558  0.0558  0.0548  0.05
Czerny 1990   34  0.2314  0.009  0.0713  0.4663  0.0519  0.15
Duchoud 2007   10  0.3515  0.0012  0.0911  0.4751  0.0616  0.17
Ezaki 2006   48  0.2016  0.0050  0.0746  0.0774  0.0344  0.05
Falvay 1989   86  -0.0317  0.0086  0.0380  0.0387  0.0284  0.02
Farrell 1958   22  0.2739  0.0035  0.0729  0.2755  0.0431  0.10
Ferenczy 1958   83  0.0040  0.0076  0.0477  0.0488  0.0273  0.03
Fliere 1977   8  0.352  0.0017  0.1016  0.4472  0.0421  0.13
Fou 1978   76  0.0841  0.0077  0.0478  0.0488  0.0268  0.03
Francois 1956   74  0.1018  0.0051  0.0747  0.0772  0.0351  0.05
Friedman 1923   1  0.991  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.6810  0.002  0.732  0.822  0.782  0.80
Garcia 2007   18  0.3011  0.0030  0.0825  0.2922  0.357  0.32
Garcia 2007b   30  0.257  0.0036  0.0635  0.1623  0.3111  0.22
Gierzod 1998   44  0.2142  0.0040  0.0541  0.1286  0.0249  0.05
Gornostaeva 1994   64  0.1643  0.0033  0.0640  0.1281  0.0343  0.06
Groot 1988   59  0.1644  0.0048  0.0563  0.0585  0.0279  0.03
Harasiewicz 1955   40  0.2245  0.0052  0.0561  0.0558  0.0466  0.04
Hatto 1993   24  0.2746  0.0054  0.0559  0.0587  0.0365  0.04
Hatto 1997   36  0.2347  0.0059  0.0562  0.0583  0.0362  0.04
Horowitz 1949   54  0.1848  0.0060  0.0564  0.0577  0.0358  0.04
Indjic 1988   28  0.2649  0.0056  0.0650  0.0688  0.0271  0.03
Kapell 1951   39  0.2250  0.0029  0.0730  0.2541  0.1313  0.18
Kissin 1993   79  0.0319  0.0078  0.0468  0.0489  0.0270  0.03
Kushner 1989   33  0.2451  0.0049  0.0555  0.0585  0.0355  0.04
Luisada 1991   51  0.1852  0.0068  0.0469  0.0475  0.0367  0.03
Lushtak 2004   31  0.2453  0.0044  0.0544  0.1088  0.0263  0.04
Malcuzynski 1961   23  0.2754  0.0027  0.0721  0.3554  0.0522  0.13
Magaloff 1978   41  0.2255  0.0041  0.0539  0.1281  0.0339  0.06
Magin 1975   38  0.2256  0.0042  0.0445  0.1074  0.0347  0.05
Michalowski 1933   7  0.3657  0.006  0.179  0.5029  0.346  0.41
Milkina 1970   89  -0.0758  0.0087  0.0288  0.0290  0.0285  0.02
Mohovich 1999   69  0.1259  0.0067  0.0565  0.0586  0.0276  0.03
Moravec 1969   73  0.1060  0.0065  0.0379  0.0388  0.0282  0.02
Morozova 2008   19  0.2961  0.0021  0.0718  0.3888  0.0234  0.09
Neighaus 1950   9  0.3562  0.0010  0.097  0.5173  0.0420  0.14
Niedzielski 1931   49  0.1963  0.0032  0.0733  0.1839  0.1217  0.15
Ohlsson 1999   20  0.2820  0.0031  0.0824  0.2984  0.0333  0.09
Osinska 1989   62  0.1664  0.0062  0.0560  0.0585  0.0353  0.04
Pachmann 1927   66  0.1365  0.0074  0.0652  0.0678  0.0359  0.04
Paderewski 1930   42  0.213  0.0025  0.0726  0.2940  0.1212  0.19
Perlemuter 1992   25  0.2766  0.0014  0.1022  0.3384  0.0329  0.10
Pierdomenico 2008   57  0.174  0.0071  0.0654  0.0663  0.0446  0.05
Poblocka 1999   46  0.2067  0.0043  0.0442  0.1164  0.0438  0.07
Rabcewiczowa 1932   68  0.1368  0.0058  0.0649  0.0670  0.0354  0.04
Rachmaninoff 1923   4  0.4169  0.004  0.314  0.6716  0.424  0.53
Rangell 2001   65  0.1570  0.0063  0.0473  0.0478  0.0377  0.03
Richter 1976   71  0.1171  0.0075  0.0472  0.0485  0.0369  0.03
Rosen 1989   6  0.3772  0.007  0.118  0.5170  0.0326  0.12
Rosenthal 1930   26  0.2673  0.0034  0.0531  0.2246  0.0725  0.12
Rosenthal 1931   70  0.1274  0.0073  0.0648  0.0675  0.0360  0.04
Rosenthal 1931b   60  0.1675  0.0061  0.0467  0.0467  0.0380  0.03
Rosenthal 1931c   37  0.2276  0.0038  0.0537  0.1563  0.0437  0.08
Rosenthal 1931d   72  0.1077  0.0072  0.0471  0.0480  0.0278  0.03
Rossi 2007   75  0.0921  0.0047  0.0653  0.0633  0.1927  0.11
Rubinstein 1939   90  -0.1122  0.0091  0.0191  0.0190  0.0190  0.01
Rubinstein 1952   91  -0.1978  0.0090  0.0190  0.0190  0.0291  0.01
Rubinstein 1966   80  0.0379  0.0085  0.0286  0.0288  0.0288  0.02
Schilhawsky 1960   11  0.3523  0.0018  0.1217  0.4046  0.0715  0.17
Shebanova 2002   61  0.1680  0.0064  0.0475  0.0485  0.0374  0.03
Smith 1975   50  0.1981  0.0039  0.0538  0.1281  0.0340  0.06
Sokolov 2002   35  0.2382  0.0045  0.0543  0.1075  0.0345  0.05
Sztompka 1959   5  0.4183  0.005  0.355  0.5828  0.345  0.44
Tomsic 1995   81  0.0184  0.0079  0.0474  0.0488  0.0186  0.02
Uninsky 1932   3  0.4324  0.003  0.343  0.6711  0.483  0.57
Uninsky 1971   21  0.2885  0.008  0.1310  0.5051  0.0614  0.17
Wasowski 1980   47  0.2086  0.0053  0.0566  0.0575  0.0452  0.04
Zak 1937   53  0.1887  0.0069  0.0556  0.0579  0.0356  0.04
Zak 1951   63  0.1688  0.0070  0.0470  0.0474  0.0457  0.04
Average   14  0.338  0.0013  0.126  0.5380  0.0323  0.13
Random 1   82  0.0189  0.0081  0.0381  0.0318  0.2935  0.09
Random 2   87  -0.0490  0.0083  0.0287  0.0258  0.0475  0.03
Random 3   78  0.0391  0.0080  0.0383  0.0343  0.1050  0.05

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).