Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.4527  0.0128  0.0628  0.2475  0.0337  0.08
Anderszewski 2003   18  0.4835  0.0050  0.0556  0.0583  0.0361  0.04
Ashkenazy 1981   55  0.3432  0.0061  0.0651  0.0672  0.0365  0.04
Bacha 2000   56  0.3434  0.0047  0.0655  0.0653  0.0643  0.06
Badura 1965   36  0.4279  0.0076  0.0470  0.0489  0.0281  0.03
Barbosa 1983   47  0.3917  0.0119  0.0627  0.2682  0.0330  0.09
Biret 1990   22  0.4642  0.0017  0.098  0.4863  0.0513  0.15
Blet 2003   48  0.3886  0.0037  0.0638  0.1761  0.0436  0.08
Block 1995   21  0.4729  0.0029  0.0530  0.2335  0.1710  0.20
Blumental 1952   27  0.4552  0.0035  0.0529  0.2382  0.0241  0.07
Boshniakovich 1969   31  0.4426  0.0159  0.0465  0.0484  0.0282  0.03
Brailowsky 1960   11  0.5024  0.0130  0.0639  0.1543  0.1314  0.14
Bunin 1987   84  0.1774  0.0088  0.0385  0.0386  0.0289  0.02
Bunin 1987b   87  0.1580  0.0087  0.0288  0.0286  0.0285  0.02
Chiu 1999   16  0.4866  0.0060  0.0467  0.0485  0.0369  0.03
Cohen 1997   76  0.2549  0.0065  0.0381  0.0377  0.0383  0.03
Cortot 1951   38  0.412  0.132  0.1223  0.2932  0.225  0.25
Csalog 1996   88  0.1362  0.0066  0.0473  0.0452  0.0560  0.04
Czerny 1949   26  0.4521  0.0140  0.0641  0.1384  0.0347  0.06
Czerny 1990   4  0.583  0.113  0.131  0.6657  0.0412  0.16
Duchoud 2007   78  0.2537  0.0071  0.0474  0.0481  0.0379  0.03
Ezaki 2006   1  0.599  0.046  0.114  0.5884  0.0318  0.13
Falvay 1989   9  0.5010  0.0410  0.106  0.4935  0.281  0.37
Farrell 1958   39  0.4156  0.0026  0.0621  0.3164  0.0424  0.11
Ferenczy 1958   51  0.3772  0.0054  0.0557  0.0582  0.0363  0.04
Fliere 1977   32  0.4341  0.0053  0.0654  0.0659  0.0449  0.05
Fou 1978   30  0.4477  0.0031  0.0736  0.1883  0.0340  0.07
Francois 1956   24  0.466  0.057  0.1014  0.3953  0.0517  0.14
Friedman 1923   71  0.2881  0.0070  0.0746  0.0766  0.0548  0.06
Friedman 1923b   72  0.2864  0.0069  0.0461  0.0474  0.0466  0.04
Friedman 1930   44  0.4067  0.0062  0.0471  0.0459  0.0562  0.04
Garcia 2007   43  0.4059  0.0055  0.0559  0.0560  0.0464  0.04
Garcia 2007b   49  0.3860  0.0056  0.0653  0.0669  0.0454  0.05
Gierzod 1998   58  0.3365  0.0064  0.0379  0.0368  0.0478  0.03
Gornostaeva 1994   7  0.5214  0.0113  0.115  0.4942  0.118  0.23
Groot 1988   42  0.4047  0.0020  0.0625  0.2885  0.0332  0.09
Harasiewicz 1955   3  0.597  0.0514  0.0832  0.2179  0.0338  0.08
Hatto 1993   86  0.1676  0.0082  0.0384  0.0388  0.0290  0.02
Hatto 1997   83  0.1885  0.0081  0.0477  0.0486  0.0375  0.03
Horowitz 1949   79  0.2457  0.0085  0.0476  0.0481  0.0370  0.03
Indjic 1988   85  0.1690  0.0083  0.0383  0.0389  0.0288  0.02
Kapell 1951   70  0.2971  0.0033  0.0531  0.2186  0.0334  0.08
Kissin 1993   25  0.4643  0.0042  0.0443  0.1073  0.0350  0.05
Kushner 1989   14  0.4973  0.0025  0.0819  0.3283  0.0328  0.10
Luisada 1991   10  0.5051  0.0027  0.0824  0.2859  0.0422  0.11
Lushtak 2004   37  0.4146  0.0045  0.0545  0.0972  0.0351  0.05
Malcuzynski 1961   40  0.4013  0.0124  0.0622  0.3061  0.0425  0.11
Magaloff 1978   17  0.485  0.068  0.0910  0.4537  0.182  0.28
Magin 1975   41  0.4031  0.0043  0.0544  0.1065  0.0445  0.06
Michalowski 1933   54  0.3425  0.0173  0.0378  0.0384  0.0372  0.03
Milkina 1970   35  0.4218  0.0116  0.0816  0.3762  0.0515  0.14
Mohovich 1999   20  0.4723  0.0112  0.107  0.4881  0.0321  0.12
Moravec 1969   46  0.3961  0.0015  0.0713  0.3944  0.173  0.26
Morozova 2008   15  0.4978  0.0039  0.0637  0.1783  0.0246  0.06
Neighaus 1950   53  0.3587  0.0063  0.0464  0.0484  0.0384  0.03
Niedzielski 1931   57  0.3312  0.0248  0.0652  0.0680  0.0356  0.04
Ohlsson 1999   66  0.2944  0.0075  0.0469  0.0484  0.0371  0.03
Osinska 1989   2  0.598  0.045  0.172  0.6155  0.0511  0.17
Pachmann 1927   81  0.2145  0.0086  0.0287  0.0289  0.0287  0.02
Paderewski 1930   33  0.4340  0.0051  0.0650  0.0682  0.0359  0.04
Perlemuter 1992   6  0.5633  0.0022  0.0917  0.3786  0.0323  0.11
Pierdomenico 2008   19  0.4748  0.0018  0.0820  0.3137  0.176  0.23
Poblocka 1999   80  0.2482  0.0079  0.0468  0.0476  0.0368  0.03
Rabcewiczowa 1932   13  0.504  0.104  0.1511  0.4140  0.137  0.23
Rachmaninoff 1923   12  0.5028  0.0121  0.0715  0.3767  0.0420  0.12
Rangell 2001   75  0.2583  0.0057  0.0649  0.0663  0.0367  0.04
Richter 1976   77  0.2589  0.0084  0.0386  0.0388  0.0286  0.02
Rosen 1989   23  0.4611  0.029  0.119  0.4757  0.0416  0.14
Rosenthal 1930   64  0.2970  0.0058  0.0462  0.0479  0.0380  0.03
Rosenthal 1931   60  0.3384  0.0046  0.0558  0.0537  0.1631  0.09
Rosenthal 1931b   69  0.2954  0.0052  0.0648  0.0639  0.1039  0.08
Rosenthal 1931c   65  0.2930  0.0041  0.0640  0.1548  0.0533  0.09
Rosenthal 1931d   59  0.3320  0.0149  0.0647  0.0630  0.2127  0.11
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   82  0.2075  0.0078  0.0463  0.0467  0.0455  0.04
Rubinstein 1952   73  0.2869  0.0044  0.0542  0.1175  0.0442  0.07
Rubinstein 1966   62  0.3136  0.0034  0.0626  0.2675  0.0429  0.10
Schilhawsky 1960   68  0.2915  0.0172  0.0472  0.0485  0.0374  0.03
Shebanova 2002   63  0.3155  0.0074  0.0380  0.0387  0.0377  0.03
Smith 1975   5  0.571  0.141  0.143  0.5941  0.114  0.25
Sokolov 2002   52  0.3619  0.0138  0.0635  0.1887  0.0244  0.06
Sztompka 1959   34  0.4222  0.0136  0.0534  0.2085  0.0335  0.08
Tomsic 1995   50  0.3716  0.0111  0.1018  0.3644  0.129  0.21
Uninsky 1932   45  0.3968  0.0067  0.0382  0.0379  0.0376  0.03
Uninsky 1971   74  0.2688  0.0080  0.0560  0.0586  0.0273  0.03
Wasowski 1980   29  0.4463  0.0032  0.0533  0.2045  0.0919  0.13
Zak 1937   67  0.2958  0.0077  0.0466  0.0474  0.0457  0.04
Zak 1951   61  0.3239  0.0068  0.0475  0.0472  0.0458  0.04
Average   8  0.5153  0.0023  0.0612  0.4082  0.0326  0.11
Random 1   89  -0.1238  0.0090  0.0290  0.0240  0.1552  0.05
Random 2   91  -0.2091  0.0091  0.0191  0.0191  0.0191  0.01
Random 3   90  -0.1450  0.0089  0.0289  0.0238  0.1453  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).