Friedman 1923b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.1927  0.0020  0.0620  0.3667  0.0332  0.10
Anderszewski 2003   29  0.2328  0.0041  0.0642  0.1568  0.0340  0.07
Ashkenazy 1981   20  0.2629  0.0040  0.0735  0.2086  0.0246  0.06
Bacha 2000   70  0.0130  0.0079  0.0384  0.0388  0.0277  0.02
Badura 1965   38  0.2031  0.0022  0.0625  0.3263  0.0428  0.11
Barbosa 1983   53  0.1132  0.0057  0.0562  0.0576  0.0351  0.04
Biret 1990   42  0.1733  0.0048  0.0476  0.0479  0.0274  0.03
Blet 2003   18  0.279  0.0017  0.0617  0.4171  0.0327  0.11
Block 1995   69  0.0118  0.0024  0.0640  0.1683  0.0245  0.06
Blumental 1952   12  0.3034  0.008  0.139  0.4514  0.326  0.38
Boshniakovich 1969   59  0.0635  0.0060  0.0565  0.0587  0.0272  0.03
Brailowsky 1960   86  -0.1719  0.0086  0.0383  0.0389  0.0278  0.02
Bunin 1987   10  0.3036  0.0012  0.0711  0.4353  0.0520  0.15
Bunin 1987b   11  0.3010  0.0013  0.0812  0.4353  0.0518  0.15
Chiu 1999   54  0.1037  0.0064  0.0555  0.0585  0.0262  0.03
Cohen 1997   88  -0.2338  0.0087  0.0188  0.0189  0.0289  0.01
Cortot 1951   14  0.3039  0.0010  0.0813  0.4336  0.1911  0.29
Csalog 1996   89  -0.2340  0.0089  0.0189  0.0189  0.0288  0.01
Czerny 1949   28  0.2341  0.009  0.088  0.4534  0.209  0.30
Czerny 1990   39  0.1911  0.0016  0.1014  0.4362  0.0423  0.13
Duchoud 2007   6  0.3442  0.0011  0.0618  0.4164  0.0422  0.13
Ezaki 2006   30  0.2343  0.0029  0.0623  0.3381  0.0330  0.10
Falvay 1989   84  -0.1444  0.0083  0.0286  0.0287  0.0279  0.02
Farrell 1958   26  0.2445  0.0044  0.0841  0.1669  0.0339  0.07
Ferenczy 1958   57  0.0846  0.0042  0.0544  0.1149  0.0541  0.07
Fliere 1977   49  0.122  0.0061  0.0654  0.0686  0.0260  0.03
Fou 1978   79  -0.0447  0.0078  0.0377  0.0389  0.0280  0.02
Francois 1956   56  0.0948  0.0035  0.0736  0.1948  0.0533  0.10
Friedman 1923   1  1.001  1.001  0.991  1.001  1.001  1.00
Friedman 1923b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Friedman 1930   2  0.635  0.002  0.582  0.752  0.672  0.71
Garcia 2007   33  0.226  0.0046  0.0556  0.0567  0.0353  0.04
Garcia 2007b   22  0.2620  0.0036  0.0731  0.2219  0.2214  0.22
Gierzod 1998   31  0.2249  0.0038  0.0738  0.1963  0.0337  0.08
Gornostaeva 1994   45  0.1650  0.0025  0.0626  0.3064  0.0335  0.09
Groot 1988   68  0.0251  0.0052  0.0558  0.0583  0.0355  0.04
Harasiewicz 1955   51  0.1212  0.0051  0.0563  0.0579  0.0356  0.04
Hatto 1993   17  0.2752  0.0053  0.0474  0.0479  0.0276  0.03
Hatto 1997   15  0.3053  0.0045  0.0650  0.0674  0.0352  0.04
Horowitz 1949   67  0.0313  0.0072  0.0651  0.0686  0.0269  0.03
Indjic 1988   19  0.2754  0.0054  0.0652  0.0678  0.0271  0.03
Kapell 1951   41  0.1855  0.0037  0.0728  0.2744  0.0916  0.16
Kissin 1993   82  -0.1121  0.0077  0.0381  0.0389  0.0184  0.02
Kushner 1989   43  0.1756  0.0049  0.0472  0.0482  0.0266  0.03
Luisada 1991   58  0.0857  0.0066  0.0568  0.0588  0.0258  0.03
Lushtak 2004   36  0.2158  0.0043  0.0643  0.1385  0.0247  0.05
Malcuzynski 1961   27  0.2459  0.0026  0.0822  0.3476  0.0331  0.10
Magaloff 1978   61  0.0660  0.0065  0.0569  0.0586  0.0263  0.03
Magin 1975   44  0.1761  0.0027  0.0639  0.1774  0.0242  0.06
Michalowski 1933   8  0.3362  0.007  0.177  0.4830  0.305  0.38
Milkina 1970   83  -0.1263  0.0085  0.0379  0.0389  0.0281  0.02
Mohovich 1999   60  0.0664  0.0050  0.0567  0.0581  0.0354  0.04
Moravec 1969   66  0.0365  0.0058  0.0566  0.0588  0.0257  0.03
Morozova 2008   34  0.2114  0.0039  0.0637  0.1987  0.0244  0.06
Neighaus 1950   9  0.3166  0.0015  0.0919  0.4066  0.0424  0.13
Niedzielski 1931   65  0.0367  0.0059  0.0557  0.0581  0.0265  0.03
Ohlsson 1999   37  0.2068  0.0047  0.0570  0.0585  0.0270  0.03
Osinska 1989   63  0.054  0.0056  0.0564  0.0584  0.0261  0.03
Pachmann 1927   81  -0.1022  0.0080  0.0385  0.0387  0.0283  0.02
Paderewski 1930   50  0.123  0.0032  0.0632  0.2136  0.1315  0.17
Perlemuter 1992   47  0.1469  0.0023  0.0529  0.2568  0.0334  0.09
Pierdomenico 2008   77  -0.0315  0.0075  0.0473  0.0488  0.0264  0.03
Poblocka 1999   52  0.1170  0.0055  0.0571  0.0584  0.0349  0.04
Rabcewiczowa 1932   35  0.2171  0.0018  0.0910  0.4438  0.1512  0.26
Rachmaninoff 1923   5  0.3772  0.006  0.176  0.5032  0.1710  0.29
Rangell 2001   64  0.0573  0.0071  0.0559  0.0587  0.0273  0.03
Richter 1976   85  -0.158  0.0084  0.0380  0.0389  0.0182  0.02
Rosen 1989   16  0.2874  0.0019  0.0816  0.4280  0.0329  0.11
Rosenthal 1930   21  0.2616  0.0021  0.0621  0.3540  0.1513  0.23
Rosenthal 1931   48  0.1475  0.0063  0.0745  0.0749  0.0543  0.06
Rosenthal 1931b   46  0.1676  0.0062  0.0747  0.0758  0.0448  0.05
Rosenthal 1931c   25  0.2477  0.0034  0.0730  0.2362  0.0338  0.08
Rosenthal 1931d   62  0.0578  0.0067  0.0561  0.0583  0.0275  0.03
Rossi 2007   73  0.0023  0.0031  0.0533  0.2156  0.0336  0.08
Rubinstein 1939   87  -0.1979  0.0088  0.0187  0.0189  0.0187  0.01
Rubinstein 1952   90  -0.3680  0.0090  0.0190  0.0189  0.0290  0.01
Rubinstein 1966   78  -0.0381  0.0081  0.0382  0.0390  0.0185  0.02
Schilhawsky 1960   13  0.3017  0.0030  0.0724  0.3357  0.0521  0.13
Shebanova 2002   80  -0.0982  0.0082  0.0378  0.0389  0.0286  0.02
Smith 1975   32  0.2224  0.0014  0.0915  0.4268  0.0326  0.11
Sokolov 2002   24  0.2583  0.0033  0.0627  0.2863  0.0425  0.11
Sztompka 1959   4  0.407  0.004  0.285  0.5224  0.364  0.43
Tomsic 1995   71  0.0184  0.0070  0.0648  0.0687  0.0268  0.03
Uninsky 1932   3  0.4185  0.003  0.303  0.5810  0.453  0.51
Uninsky 1971   7  0.3486  0.005  0.134  0.5336  0.217  0.33
Wasowski 1980   76  0.0025  0.0073  0.0653  0.0688  0.0259  0.03
Zak 1937   72  0.0087  0.0076  0.0560  0.0585  0.0350  0.04
Zak 1951   74  0.0026  0.0074  0.0475  0.0483  0.0367  0.03
Random 1   55  0.0988  0.0068  0.0649  0.068  0.4217  0.16
Random 2   75  0.0089  0.0069  0.0746  0.0714  0.3219  0.15
Random 3   23  0.2690  0.0028  0.0834  0.207  0.478  0.31

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).